From 22866378ec129b8d538c528de551bd76a52fe991 Mon Sep 17 00:00:00 2001 From: AugustT Date: Wed, 1 Jun 2016 10:30:53 +0100 Subject: [PATCH 01/10] Add in workflow testing for Occurrence, Covariate and Process modules --- R/test_outputs.R | 221 +++++++++++++++++++++++++++++++++++++++++++++++ R/workflow.R | 2 +- 2 files changed, 222 insertions(+), 1 deletion(-) diff --git a/R/test_outputs.R b/R/test_outputs.R index 5faad2d..6e061e2 100644 --- a/R/test_outputs.R +++ b/R/test_outputs.R @@ -33,7 +33,115 @@ test_outputs <- function(roxy_parse, modulePath){ expect_is(occ_return$value, c('numeric', 'integer'), info = 'value must be a numeric or integer') expect_is(occ_return$type, 'character', info = 'type must be a character') expect_is(occ_return$fold, c('numeric', 'integer'), info = 'info must be a numeric or integer') + + ## Check it in a few workflows + # Assign function + OccurrenceModule <- source(modulePath)$value + # this line is needed to it to the global env. where zoon looks + assign('OccurrenceModule', OccurrenceModule, env = .GlobalEnv) + + # Get the data types + sections <- roxy_parse[grepl('section', names(roxy_parse))] + data_types <- trimws(strsplit(gsub('Data type: ', '', sections[grepl('Data type: ', sections)]), + split = ',')[[1]]) + + xmin <- floor(min(occ_return$longitude, na.rm = TRUE)) + xmax <- ceiling(max(occ_return$longitude, na.rm = TRUE)) + ymin <- floor(min(occ_return$longitude, na.rm = TRUE)) + ymax <- ceiling(min(occ_return$longitude, na.rm = TRUE)) + + myExtent <- c(xmin, xmax, ymin, ymax) + + # We have to do this so that zoon can find it + assign('myExtent', myExtent, env = .GlobalEnv) + + for(data_type in data_types){ + + # Presence only + if(data_type == "presence-only"){ + + # test normal + expect_is(w <- workflow(occurrence = OccurrenceModule, + covariate = NCEP(variables = 'air', + extent = myExtent), + process = OneHundredBackground, + model = LogisticRegression, + output = PrintMap), + 'zoonWorkflow', + info = 'The occurrence module did not work in a standard workflow') + + # test Chain + expect_is(w <- workflow(occurrence = Chain(OccurrenceModule, + OccurrenceModule), + covariate = NCEP(variables = 'air', + extent = myExtent), + process = OneHundredBackground, + model = LogisticRegression, + output = PrintMap), + 'zoonWorkflow', + info = 'The occurrence module did not work when chained in a workflow') + + # test list + crossvalidation + expect_is(w <- workflow(occurrence = list(OccurrenceModule, + OccurrenceModule), + covariate = NCEP(variables = 'air', + extent = myExtent), + process = BackgroundAndCrossvalid, + model = LogisticRegression, + output = PerformanceMeasures), + 'zoonWorkflow', + info = 'The occurrence module did not work when listed in a workflow with crossvalidation') + + + } else if(data_type == "presence/absence"){ + + # test normal + expect_is(w <- workflow(occurrence = OccurrenceModule, + covariate = NCEP(variables = 'air', + extent = myExtent), + process = NoProcess, + model = LogisticRegression, + output = PrintMap), + 'zoonWorkflow', + info = 'The occurrence module did not work in a standard workflow') + + # test this + Occurrence(w) + + # test Chain + expect_is(w <- workflow(occurrence = Chain(OccurrenceModule, + OccurrenceModule), + covariate = NCEP(variables = 'air', + extent = myExtent), + process = NoProcess, + model = LogisticRegression, + output = PrintMap), + 'zoonWorkflow', + info = 'The occurrence module did not work when chained in a workflow') + + + + # test list + crossvalidation + expect_is(w <- workflow(occurrence = list(OccurrenceModule, + OccurrenceModule), + covariate = NCEP(variables = 'air', + extent = myExtent), + process = Crossvalidate, + model = LogisticRegression, + output = PerformanceMeasures), + 'zoonWorkflow', + info = 'The occurrence module did not work when listed in a workflow with crossvalidation') + + } ## Add tests for proportion and abundance ## + + + # create a modules that creates a random number of + # presence points + + } + + } ## COVARIATE MODULES ## @@ -55,6 +163,50 @@ test_outputs <- function(roxy_parse, modulePath){ # Check raster returned is as expected expect_is(cov_return, c('RasterLayer', 'RasterStack', 'RasterBrick'), info = 'Covariate module output must be either a RasterLayer or a RasterStack') + ## Check it in a few workflows + # Assign function + CovariateModule <- source(modulePath)$value + # this line is needed to it to the global env. where zoon looks + assign('CovariateModule', CovariateModule, env = .GlobalEnv) + + expect_is(extent(cov_return), "Extent", + info = 'An extent could not be obtained from the object returned by the covariate module') + + myExtent <- as.vector(extent(cov_return)) + + # We have to do this so that zoon can find it + assign('myExtent', myExtent, env = .GlobalEnv) + + # Normal + expect_is(w <- workflow(occurrence = NaiveRandomPresence(extent = myExtent, + seed = 123), + covariate = CovariateModule, + process = OneHundredBackground, + model = LogisticRegression, + output = PrintMap), + 'zoonWorkflow', + info = 'The covariate module did not work in a standard workflow') + + # Chain + expect_is(w <- workflow(occurrence = NaiveRandomPresence(extent = myExtent, + seed = 123), + covariate = Chain(CovariateModule, CovariateModule), + process = OneHundredBackground, + model = LogisticRegression, + output = PrintMap), + 'zoonWorkflow', + info = 'The covariate module did not work when chained in a workflow') + + # List + crossvalidate + expect_is(w <- workflow(occurrence = NaiveRandomPresence(extent = myExtent, + seed = 123), + covariate = list(CovariateModule, CovariateModule), + process = BackgroundAndCrossvalid, + model = LogisticRegression, + output = PrintMap), + 'zoonWorkflow', + info = 'The covariate module did not work when listed in a workflow with crossvalidation') + } ## PROCESS MODULES ## @@ -67,6 +219,11 @@ test_outputs <- function(roxy_parse, modulePath){ sections <- roxy_parse[grepl('section', names(roxy_parse))] data_types <- gsub('Data type: ', '', sections[grepl('Data type: ', sections)]) + # assign the module + ProcessModule <- source(modulePath)$value + # this line is needed to it to the global env. where zoon looks + assign('ProcessModule', ProcessModule, env = .GlobalEnv) + for(data_type in c("presence/absence", "presence-only")){ if(grepl(data_type, data_types)){ @@ -106,6 +263,70 @@ test_outputs <- function(roxy_parse, modulePath){ # Check raster returned is as expected expect_is(pro_return$ras, c('RasterLayer', 'RasterStack', 'RasterBrick'), info = 'The "ras" element returned by a process module must be either a RasterLayer or a RasterStack') + ## Try it in some workflows + if(data_type == "presence/absence"){ + + # normal + expect_is(w <- workflow(occurrence = CarolinaWrenPA, + covariate = CarolinaWrenRasters, + process = ProcessModule, + model = LogisticRegression, + output = PrintMap), + 'zoonWorkflow', + info = 'The process module did not work in a standard workflow') + + # Chained + expect_is(w <- workflow(occurrence = UKAnophelesPlumbeus, + covariate = UKAir, + process = Chain(OneHundredBackground, + ProcessModule), + model = LogisticRegression, + output = PrintMap), + 'zoonWorkflow', + info = 'The process module did not work in a standard workflow') + + # list + crossvalidated + expect_is(w <- workflow(occurrence = CarolinaWrenPA, + covariate = CarolinaWrenRasters, + process = list(Crossvalidate, + ProcessModule), + model = LogisticRegression, + output = PrintMap), + 'zoonWorkflow', + info = 'The process module did not work in a standard workflow') + + + } else if(data_type == "presence-only"){ + + # Norm + expect_is(w <- workflow(occurrence = UKAnophelesPlumbeus, + covariate = UKAir, + process = ProcessModule, + model = RandomForest, + output = PrintMap), + 'zoonWorkflow', + info = 'The process module did not work in a standard workflow') + + # Chain + expect_is(w <- workflow(occurrence = UKAnophelesPlumbeus, + covariate = UKAir, + process = list(Clean, + ProcessModule), + model = RandomForest, + output = PrintMap), + 'zoonWorkflow', + info = 'The process module did not work in a chain') + + # list + expect_is(w <- workflow(occurrence = UKAnophelesPlumbeus, + covariate = UKAir, + process = list(NoProcess, + ProcessModule), + model = RandomForest, + output = PrintMap), + 'zoonWorkflow', + info = 'The process module did not work in a standard workflow') + } } } } diff --git a/R/workflow.R b/R/workflow.R index f299cd5..bc784d1 100644 --- a/R/workflow.R +++ b/R/workflow.R @@ -139,7 +139,7 @@ workflow <- function(occurrence, covariate, process, model, output, forceReprodu class(output) <- 'zoonWorkflow' # whether exiting on error, or successful completion, return this - on.exit(return (output)) + on.exit(return(output)) tryCatch({ occurrence.output <- lapply(occurrenceName, FUN = DoOccurrenceModule, e = e) From 3a381796c8e2c42badbc9e4d03b51b57b66fc2b3 Mon Sep 17 00:00:00 2001 From: AugustT Date: Wed, 1 Jun 2016 11:13:55 +0100 Subject: [PATCH 02/10] Change tests and example to avoind the use of OneHundredBackground in combination with UKAir as this produces a warning. Changed out for Background(n=70) --- R/ChangeWorkflow.R | 2 +- R/RerunWorkflow.R | 2 +- R/accessors.R | 2 +- R/test_outputs.R | 142 +++++++++++++++++++++- R/workflow.R | 2 +- tests/testthat/testReplicate.R | 2 +- tests/testthat/testaccessors.R | 6 +- tests/testthat/testcall_path.R | 94 +++++++------- tests/testthat/testplot.zoonWorkflow.r | 10 +- tests/testthat/testprint.zoonSummary.R | 2 +- tests/testthat/testprint.zoonWorkflow.R | 2 +- tests/testthat/testsummary.zoonWorkflow.R | 2 +- 12 files changed, 201 insertions(+), 67 deletions(-) diff --git a/R/ChangeWorkflow.R b/R/ChangeWorkflow.R index edb052b..ddede41 100644 --- a/R/ChangeWorkflow.R +++ b/R/ChangeWorkflow.R @@ -16,7 +16,7 @@ #'@examples \dontrun{ #' w <- workflow(UKAnophelesPlumbeus, #' UKAir, -#' OneHundredBackground, +#' Background(n = 70), #' LogisticRegression, #' PrintMap) #' diff --git a/R/RerunWorkflow.R b/R/RerunWorkflow.R index cfe6c32..0d95efe 100644 --- a/R/RerunWorkflow.R +++ b/R/RerunWorkflow.R @@ -16,7 +16,7 @@ #' @examples \dontrun{ #' w <- workflow(UKAnophelesPlumbeus, #' UKAir, -#' OneHundredBackground, +#' Background(n = 70), #' LogisticRegression, #' PrintMap) #' diff --git a/R/accessors.R b/R/accessors.R index 939f9eb..6d3881f 100644 --- a/R/accessors.R +++ b/R/accessors.R @@ -18,7 +18,7 @@ #'\dontrun{ #'work1 <- workflow(occurrence = UKAnophelesPlumbeus, #' covariate = UKAir, -#' process = OneHundredBackground, +#' process = Background(n = 70), #' model = list(LogisticRegression, LogisticRegression), #' output = PrintMap) #' diff --git a/R/test_outputs.R b/R/test_outputs.R index 6e061e2..ddf7b15 100644 --- a/R/test_outputs.R +++ b/R/test_outputs.R @@ -283,7 +283,7 @@ test_outputs <- function(roxy_parse, modulePath){ model = LogisticRegression, output = PrintMap), 'zoonWorkflow', - info = 'The process module did not work in a standard workflow') + info = 'The process module did not work in a chain workflow') # list + crossvalidated expect_is(w <- workflow(occurrence = CarolinaWrenPA, @@ -293,7 +293,7 @@ test_outputs <- function(roxy_parse, modulePath){ model = LogisticRegression, output = PrintMap), 'zoonWorkflow', - info = 'The process module did not work in a standard workflow') + info = 'The process module did not work in a list workflow') } else if(data_type == "presence-only"){ @@ -315,7 +315,7 @@ test_outputs <- function(roxy_parse, modulePath){ model = RandomForest, output = PrintMap), 'zoonWorkflow', - info = 'The process module did not work in a chain') + info = 'The process module did not work in a chain workflow') # list expect_is(w <- workflow(occurrence = UKAnophelesPlumbeus, @@ -325,7 +325,7 @@ test_outputs <- function(roxy_parse, modulePath){ model = RandomForest, output = PrintMap), 'zoonWorkflow', - info = 'The process module did not work in a standard workflow') + info = 'The process module did not work in a list workflow') } } } @@ -341,6 +341,11 @@ test_outputs <- function(roxy_parse, modulePath){ sections <- roxy_parse[grepl('section', names(roxy_parse))] data_types <- gsub('Data type: ', '', sections[grepl('Data type: ', sections)]) + # assign the module + ModelModule <- source(modulePath)$value + # this line is needed to it to the global env. where zoon looks + assign('ModelModule', ModelModule, env = .GlobalEnv) + if(length(data_types) > 0){ # There are not any true presence only models as yet @@ -391,9 +396,138 @@ test_outputs <- function(roxy_parse, modulePath){ expect_true(length(not_avail) == 0, info = paste('Not all packages specified in your model module are available on cran. Could not find:', paste(not_avail, collapse = ', '))) + + ## Try it in some workflows + if(data_type == "presence/absence"){ + + # normal + expect_is(w <- workflow(occurrence = CarolinaWrenPA, + covariate = CarolinaWrenRasters, + process = Clean, + model = ModelModule, + output = PrintMap), + 'zoonWorkflow', + info = 'The model module did not work in a standard workflow') + + # Chained + expect_is(w <- workflow(occurrence = CarolinaWrenPA, + covariate = CarolinaWrenRasters, + process = Chain(Clean, NoProcess), + model = ModelModule, + output = PrintMap), + 'zoonWorkflow', + info = 'The model module did not work in a chain workflow') + + # list + expect_is(w <- workflow(occurrence = CarolinaWrenPA, + covariate = CarolinaWrenRasters, + process = Clean, + model = list(ModelModule, ModelModule), + output = PrintMap), + 'zoonWorkflow', + info = 'The process module did not work in a list workflow') + + # crossvalidate + expect_is(w <- workflow(occurrence = CarolinaWrenPA, + covariate = CarolinaWrenRasters, + process = Crossvalidate, + model = list(ModelModule, ModelModule), + output = PerformanceMeasures), + 'zoonWorkflow', + info = 'The process module did not work in a crossvalidation workflow') + + + } else if(data_type == "presence/background"){ + + # Norm + expect_is(w <- workflow(occurrence = UKAnophelesPlumbeus, + covariate = UKAir, + process = Background(n = 70), + model = ModelModule, + output = PrintMap), + 'zoonWorkflow', + info = 'The process module did not work in a standard workflow') + + # Chain + expect_is(w <- workflow(occurrence = UKAnophelesPlumbeus, + covariate = UKAir, + process = list(Clean, + Background(n = 70)), + model = ModelModule, + output = PrintMap), + 'zoonWorkflow', + info = 'The process module did not work in a chain workflow') + + # list + expect_is(w <- workflow(occurrence = UKAnophelesPlumbeus, + covariate = UKAir, + process = Background(n = 70), + model = list(ModelModule, ModelModule), + output = PrintMap), + 'zoonWorkflow', + info = 'The process module did not work in a list workflow') + + # crossvalidate + expect_is(w <- workflow(occurrence = UKAnophelesPlumbeus, + covariate = UKAir, + process = Chain(Background(n = 70), Crossvalidate), + model = ModelModule, + output = PerformanceMeasures), + 'zoonWorkflow', + info = 'The process module did not work in a crossvalidation workflow') + } } } } } + + ## OUTPUT MODULES ## + if(roxy_parse$family == 'output'){ + + # Load the script + source(modulePath) + + # Run the module with defaults + sections <- roxy_parse[grepl('section', names(roxy_parse))] + data_types <- gsub('Data type: ', '', sections[grepl('Data type: ', sections)]) + + # assign the module + OutputModule <- source(modulePath)$value + # this line is needed to it to the global env. where zoon looks + assign('OutputModule', OutputModule, env = .GlobalEnv) + + + ## ADD IN TEST OF OUTPUTS IF WE DECIDE THEY SHOULD CHAIN ## + + ## At the moment output modules are expected to work with + ## all data types + + # normal + expect_is(w <- workflow(occurrence = UKAnophelesPlumbeus, + covariate = UKAir, + process = Background(n = 70), + model = LogisticRegression, + output = OutputModule), + 'zoonWorkflow', + info = 'The output module did not work in a standard workflow') + + # # Chained + # expect_is(w <- workflow(occurrence = UKAnophelesPlumbeus, + # covariate = UKAir, + # process = Background(n = 70), + # model = LogisticRegression, + # output = Chain(OutputModule, OutputModule)), + # 'zoonWorkflow', + # info = 'The output module did not work in a chain workflow') + + # list + crossvalidated + expect_is(w <- workflow(occurrence = UKAnophelesPlumbeus, + covariate = UKAir, + process = Background(n = 70), + model = LogisticRegression, + output = list(OutputModule, OutputModule)), + 'zoonWorkflow', + info = 'The process module did not work in a list workflow') + } }) } diff --git a/R/workflow.R b/R/workflow.R index bc784d1..dad5a62 100644 --- a/R/workflow.R +++ b/R/workflow.R @@ -29,7 +29,7 @@ #' #'work1 <- workflow(occurrence = UKAnophelesPlumbeus, #' covariate = UKAir, -#' process = OneHundredBackground, +#' process = Background(n = 70), #' model = LogisticRegression, #' output = SameTimePlaceMap) #' diff --git a/tests/testthat/testReplicate.R b/tests/testthat/testReplicate.R index 2dbbf93..651c36a 100644 --- a/tests/testthat/testReplicate.R +++ b/tests/testthat/testReplicate.R @@ -21,7 +21,7 @@ test_that('Replicate workflow tests', { work2 <- workflow(occurrence = Replicate(UKAnophelesPlumbeus, 3), covariate = UKAir, - process = OneHundredBackground, + process = Background(n=70), model = LogisticRegression, output = SameTimePlaceMap) diff --git a/tests/testthat/testaccessors.R b/tests/testthat/testaccessors.R index dda4be2..df62355 100644 --- a/tests/testthat/testaccessors.R +++ b/tests/testthat/testaccessors.R @@ -8,7 +8,7 @@ test_that('All accessor functions return objects of the right length and type', # All length 1 (therefore not lists of length 1) work1 <- workflow(occurrence = UKAnophelesPlumbeus, covariate = UKAir, - process = OneHundredBackground, + process = Background(n=70), model = LogisticRegression, output = PrintMap) @@ -16,7 +16,7 @@ test_that('All accessor functions return objects of the right length and type', # All length 2 except covariate work2 <- workflow(occurrence = list(UKAnophelesPlumbeus, UKAnophelesPlumbeus), covariate = UKAir, - process = OneHundredBackground, + process = Background(n=70), model = LogisticRegression, output = PrintMap) @@ -24,7 +24,7 @@ test_that('All accessor functions return objects of the right length and type', # All length 2 expect occurrence work3 <- workflow(occurrence = UKAnophelesPlumbeus, covariate = list(UKAir, UKAir), - process = OneHundredBackground, + process = Background(n=70), model = LogisticRegression, output = PrintMap) diff --git a/tests/testthat/testcall_path.R b/tests/testthat/testcall_path.R index 89f6dec..8087945 100644 --- a/tests/testthat/testcall_path.R +++ b/tests/testthat/testcall_path.R @@ -6,7 +6,7 @@ test_that('Test call_path in a large number of variations', { CP_work <- workflow(occurrence = list(UKAnophelesPlumbeus, AnophelesPlumbeus), covariate = UKAir, - process = OneHundredBackground, + process = Background(n=70), model = RandomForest, output = PrintMap) @@ -17,42 +17,42 @@ test_that('Test call_path in a large number of variations', { expect_equal(attr(Covariate(CP_work), 'call_path'), structure(list(covariate = "UKAir"), .Names = "covariate")) expect_equal(attr(Process(CP_work)[[1]], 'call_path'), - structure(list(occurrence = "UKAnophelesPlumbeus", covariate = "UKAir", process = "OneHundredBackground"), + structure(list(occurrence = "UKAnophelesPlumbeus", covariate = "UKAir", process = "Background"), .Names = c("occurrence", "covariate", "process"))) expect_equal(attr(Process(CP_work)[[2]], 'call_path'), - structure(list(occurrence = "AnophelesPlumbeus", covariate = "UKAir", process = "OneHundredBackground"), + structure(list(occurrence = "AnophelesPlumbeus", covariate = "UKAir", process = "Background"), .Names = c("occurrence", "covariate", "process"))) expect_equal(attr(Model(CP_work)[[1]], 'call_path'), - structure(list(occurrence = "UKAnophelesPlumbeus", covariate = "UKAir", process = "OneHundredBackground", model = "RandomForest"), + structure(list(occurrence = "UKAnophelesPlumbeus", covariate = "UKAir", process = "Background", model = "RandomForest"), .Names = c("occurrence", "covariate", "process", "model"))) expect_equal(attr(Output(CP_work)[[1]], 'call_path'), - structure(list(occurrence = "UKAnophelesPlumbeus", covariate = "UKAir", process = "OneHundredBackground", model = "RandomForest", output = "PrintMap"), + structure(list(occurrence = "UKAnophelesPlumbeus", covariate = "UKAir", process = "Background", model = "RandomForest", output = "PrintMap"), .Names = c("occurrence", "covariate", "process", "model", "output"))) expect_equal(attr(Output(CP_work)[[2]], 'call_path'), - structure(list(occurrence = "AnophelesPlumbeus", covariate = "UKAir", process = "OneHundredBackground", model = "RandomForest", output = "PrintMap"), + structure(list(occurrence = "AnophelesPlumbeus", covariate = "UKAir", process = "Background", model = "RandomForest", output = "PrintMap"), .Names = c("occurrence", "covariate", "process", "model", "output"))) CP_worka <- workflow(occurrence = Chain(UKAnophelesPlumbeus, AnophelesPlumbeus), covariate = UKAir, - process = OneHundredBackground, + process = Background(n=70), model = RandomForest, output = PrintMap) expect_equal(attr(Occurrence(CP_worka), 'call_path'), structure(list(occurrence = "Chain(UKAnophelesPlumbeus, AnophelesPlumbeus)"), .Names = "occurrence")) expect_equal(attr(Process(CP_worka), 'call_path'), - structure(list(occurrence = "Chain(UKAnophelesPlumbeus, AnophelesPlumbeus)", covariate = "UKAir", process = "OneHundredBackground"), + structure(list(occurrence = "Chain(UKAnophelesPlumbeus, AnophelesPlumbeus)", covariate = "UKAir", process = "Background"), .Names = c("occurrence", "covariate", "process"))) expect_equal(attr(Model(CP_worka), 'call_path'), - structure(list(occurrence = "Chain(UKAnophelesPlumbeus, AnophelesPlumbeus)", covariate = "UKAir", process = "OneHundredBackground", model = "RandomForest"), + structure(list(occurrence = "Chain(UKAnophelesPlumbeus, AnophelesPlumbeus)", covariate = "UKAir", process = "Background", model = "RandomForest"), .Names = c("occurrence", "covariate", "process", "model"))) expect_equal(attr(Output(CP_worka), 'call_path'), - structure(list(occurrence = "Chain(UKAnophelesPlumbeus, AnophelesPlumbeus)", covariate = "UKAir", process = "OneHundredBackground", model = "RandomForest", output = "PrintMap"), + structure(list(occurrence = "Chain(UKAnophelesPlumbeus, AnophelesPlumbeus)", covariate = "UKAir", process = "Background", model = "RandomForest", output = "PrintMap"), .Names = c("occurrence", "covariate", "process", "model", "output"))) CP_work2 <- workflow(occurrence = UKAnophelesPlumbeus, covariate = list(UKBioclim, UKAir), - process = OneHundredBackground, + process = Background(n=70), model = RandomForest, output = PrintMap) @@ -61,47 +61,47 @@ test_that('Test call_path in a large number of variations', { expect_equal(attr(Covariate(CP_work2)[[2]], 'call_path'), structure(list(covariate = "UKAir"), .Names = "covariate")) expect_equal(attr(Process(CP_work2)[[1]], 'call_path'), - structure(list(occurrence = "UKAnophelesPlumbeus", covariate = "UKBioclim", process = "OneHundredBackground"), + structure(list(occurrence = "UKAnophelesPlumbeus", covariate = "UKBioclim", process = "Background"), .Names = c("occurrence", "covariate", "process"))) expect_equal(attr(Process(CP_work2)[[2]], 'call_path'), - structure(list(occurrence = "UKAnophelesPlumbeus", covariate = "UKAir", process = "OneHundredBackground"), + structure(list(occurrence = "UKAnophelesPlumbeus", covariate = "UKAir", process = "Background"), .Names = c("occurrence", "covariate", "process"))) expect_equal(attr(Model(CP_work2)[[1]], 'call_path'), - structure(list(occurrence = "UKAnophelesPlumbeus", covariate = "UKBioclim", process = "OneHundredBackground", model = "RandomForest"), + structure(list(occurrence = "UKAnophelesPlumbeus", covariate = "UKBioclim", process = "Background", model = "RandomForest"), .Names = c("occurrence", "covariate", "process", "model"))) expect_equal(attr(Model(CP_work2)[[2]], 'call_path'), - structure(list(occurrence = "UKAnophelesPlumbeus", covariate = "UKAir", process = "OneHundredBackground", model = "RandomForest"), + structure(list(occurrence = "UKAnophelesPlumbeus", covariate = "UKAir", process = "Background", model = "RandomForest"), .Names = c("occurrence", "covariate", "process", "model"))) expect_equal(attr(Output(CP_work2)[[1]], 'call_path'), - structure(list(occurrence = "UKAnophelesPlumbeus", covariate = "UKBioclim", process = "OneHundredBackground", model = "RandomForest", output = "PrintMap"), + structure(list(occurrence = "UKAnophelesPlumbeus", covariate = "UKBioclim", process = "Background", model = "RandomForest", output = "PrintMap"), .Names = c("occurrence", "covariate", "process", "model", "output"))) expect_equal(attr(Output(CP_work2)[[2]], 'call_path'), - structure(list(occurrence = "UKAnophelesPlumbeus", covariate = "UKAir", process = "OneHundredBackground", model = "RandomForest", output = "PrintMap"), + structure(list(occurrence = "UKAnophelesPlumbeus", covariate = "UKAir", process = "Background", model = "RandomForest", output = "PrintMap"), .Names = c("occurrence", "covariate", "process", "model", "output"))) CP_work2a <- workflow(occurrence = UKAnophelesPlumbeus, covariate = Chain(UKAir, UKAir), - process = OneHundredBackground, + process = Background(n=70), model = RandomForest, output = PrintMap) expect_equal(attr(Covariate(CP_work2a), 'call_path'), structure(list(covariate = "Chain(UKAir, UKAir)"), .Names = "covariate")) expect_equal(attr(Process(CP_work2a), 'call_path'), - structure(list(occurrence = "UKAnophelesPlumbeus", covariate = "Chain(UKAir, UKAir)", process = "OneHundredBackground"), + structure(list(occurrence = "UKAnophelesPlumbeus", covariate = "Chain(UKAir, UKAir)", process = "Background"), .Names = c("occurrence", "covariate", "process"))) expect_equal(attr(Model(CP_work2a), 'call_path'), - structure(list(occurrence = "UKAnophelesPlumbeus", covariate = "Chain(UKAir, UKAir)", process = "OneHundredBackground", model = "RandomForest"), + structure(list(occurrence = "UKAnophelesPlumbeus", covariate = "Chain(UKAir, UKAir)", process = "Background", model = "RandomForest"), .Names = c("occurrence", "covariate", "process", "model"))) expect_equal(attr(Output(CP_work2a), 'call_path'), - structure(list(occurrence = "UKAnophelesPlumbeus", covariate = "Chain(UKAir, UKAir)", process = "OneHundredBackground", model = "RandomForest", output = "PrintMap"), + structure(list(occurrence = "UKAnophelesPlumbeus", covariate = "Chain(UKAir, UKAir)", process = "Background", model = "RandomForest", output = "PrintMap"), .Names = c("occurrence", "covariate", "process", "model", "output"))) CP_work1 <- workflow(occurrence = Chain(UKAnophelesPlumbeus, AnophelesPlumbeus), covariate = UKAir, - process = list(NoProcess, OneHundredBackground), + process = list(NoProcess, Background(n=70)), model = RandomForest, output = PrintMap) @@ -111,124 +111,124 @@ test_that('Test call_path in a large number of variations', { structure(list(occurrence = "Chain(UKAnophelesPlumbeus, AnophelesPlumbeus)", covariate = "UKAir", process = "NoProcess"), .Names = c("occurrence", "covariate","process"))) expect_equal(attr(Process(CP_work1)[[2]], 'call_path'), - structure(list(occurrence = "Chain(UKAnophelesPlumbeus, AnophelesPlumbeus)", covariate = "UKAir", process = "OneHundredBackground"), + structure(list(occurrence = "Chain(UKAnophelesPlumbeus, AnophelesPlumbeus)", covariate = "UKAir", process = "Background"), .Names = c("occurrence","covariate", "process"))) expect_equal(attr(Model(CP_work1)[[1]], 'call_path'), structure(list(occurrence = "Chain(UKAnophelesPlumbeus, AnophelesPlumbeus)", covariate = "UKAir", process = "NoProcess", model = "RandomForest"), .Names = c("occurrence", "covariate", "process", "model"))) expect_equal(attr(Model(CP_work1)[[2]], 'call_path'), - structure(list(occurrence = "Chain(UKAnophelesPlumbeus, AnophelesPlumbeus)", covariate = "UKAir", process = "OneHundredBackground", model = "RandomForest"), + structure(list(occurrence = "Chain(UKAnophelesPlumbeus, AnophelesPlumbeus)", covariate = "UKAir", process = "Background", model = "RandomForest"), .Names = c("occurrence", "covariate", "process", "model"))) expect_equal(attr(Output(CP_work1)[[1]], 'call_path'), structure(list(occurrence = "Chain(UKAnophelesPlumbeus, AnophelesPlumbeus)", covariate = "UKAir", process = "NoProcess", model = "RandomForest", output = "PrintMap"), .Names = c("occurrence", "covariate", "process", "model", "output"))) expect_equal(attr(Output(CP_work1)[[2]], 'call_path'), - structure(list(occurrence = "Chain(UKAnophelesPlumbeus, AnophelesPlumbeus)", covariate = "UKAir", process = "OneHundredBackground", model = "RandomForest", output = "PrintMap"), + structure(list(occurrence = "Chain(UKAnophelesPlumbeus, AnophelesPlumbeus)", covariate = "UKAir", process = "Background", model = "RandomForest", output = "PrintMap"), .Names = c("occurrence", "covariate", "process", "model", "output"))) expect_equal(attr(Output(CP_work1)[[1]], 'call_path'), structure(list(occurrence = "Chain(UKAnophelesPlumbeus, AnophelesPlumbeus)", covariate = "UKAir", process = "NoProcess", model = "RandomForest", output = "PrintMap"), .Names = c("occurrence", "covariate", "process", "model", "output"))) expect_equal(attr(Output(CP_work1)[[2]], 'call_path'), - structure(list(occurrence = "Chain(UKAnophelesPlumbeus, AnophelesPlumbeus)", covariate = "UKAir", process = "OneHundredBackground", model = "RandomForest", output = "PrintMap"), + structure(list(occurrence = "Chain(UKAnophelesPlumbeus, AnophelesPlumbeus)", covariate = "UKAir", process = "Background", model = "RandomForest", output = "PrintMap"), .Names = c("occurrence", "covariate", "process", "model", "output"))) CP_work1a <- workflow(occurrence = Chain(UKAnophelesPlumbeus, AnophelesPlumbeus), covariate = UKAir, - process = Chain(NoProcess, OneHundredBackground), + process = Chain(NoProcess, Background(n=70)), model = RandomForest, output = PrintMap) expect_equal(attr(Occurrence(CP_work1a), 'call_path'), structure(list(occurrence = "Chain(UKAnophelesPlumbeus, AnophelesPlumbeus)"), .Names = "occurrence")) expect_equal(attr(Process(CP_work1a), 'call_path'), - structure(list(occurrence = "Chain(UKAnophelesPlumbeus, AnophelesPlumbeus)", covariate = "UKAir", process = "Chain(NoProcess, OneHundredBackground)"), + structure(list(occurrence = "Chain(UKAnophelesPlumbeus, AnophelesPlumbeus)", covariate = "UKAir", process = "Chain(NoProcess, Background)"), .Names = c("occurrence", "covariate","process"))) expect_equal(attr(Model(CP_work1a), 'call_path'), - structure(list(occurrence = "Chain(UKAnophelesPlumbeus, AnophelesPlumbeus)", covariate = "UKAir", process = "Chain(NoProcess, OneHundredBackground)", model = "RandomForest"), + structure(list(occurrence = "Chain(UKAnophelesPlumbeus, AnophelesPlumbeus)", covariate = "UKAir", process = "Chain(NoProcess, Background)", model = "RandomForest"), .Names = c("occurrence", "covariate", "process", "model"))) expect_equal(attr(Output(CP_work1a), 'call_path'), - structure(list(occurrence = "Chain(UKAnophelesPlumbeus, AnophelesPlumbeus)", covariate = "UKAir", process = "Chain(NoProcess, OneHundredBackground)", model = "RandomForest", output = "PrintMap"), + structure(list(occurrence = "Chain(UKAnophelesPlumbeus, AnophelesPlumbeus)", covariate = "UKAir", process = "Chain(NoProcess, Background)", model = "RandomForest", output = "PrintMap"), .Names = c("occurrence", "covariate", "process", "model", "output"))) CP_work3 <- workflow(occurrence = Chain(UKAnophelesPlumbeus, AnophelesPlumbeus), covariate = UKAir, - process = Chain(NoProcess, OneHundredBackground), + process = Chain(NoProcess, Background(n=70)), model = list(RandomForest, LogisticRegression), output = PrintMap) expect_equal(attr(Model(CP_work3)[[1]], 'call_path'), - structure(list(occurrence = "Chain(UKAnophelesPlumbeus, AnophelesPlumbeus)", covariate = "UKAir", process = "Chain(NoProcess, OneHundredBackground)", model = "RandomForest"), + structure(list(occurrence = "Chain(UKAnophelesPlumbeus, AnophelesPlumbeus)", covariate = "UKAir", process = "Chain(NoProcess, Background)", model = "RandomForest"), .Names = c("occurrence", "covariate","process","model"))) expect_equal(attr(Model(CP_work3)[[2]], 'call_path'), - structure(list(occurrence = "Chain(UKAnophelesPlumbeus, AnophelesPlumbeus)", covariate = "UKAir", process = "Chain(NoProcess, OneHundredBackground)", model = "LogisticRegression"), + structure(list(occurrence = "Chain(UKAnophelesPlumbeus, AnophelesPlumbeus)", covariate = "UKAir", process = "Chain(NoProcess, Background)", model = "LogisticRegression"), .Names = c("occurrence", "covariate","process","model"))) expect_equal(attr(Output(CP_work3)[[1]], 'call_path'), - structure(list(occurrence = "Chain(UKAnophelesPlumbeus, AnophelesPlumbeus)", covariate = "UKAir", process = "Chain(NoProcess, OneHundredBackground)", model = "RandomForest", output = "PrintMap"), + structure(list(occurrence = "Chain(UKAnophelesPlumbeus, AnophelesPlumbeus)", covariate = "UKAir", process = "Chain(NoProcess, Background)", model = "RandomForest", output = "PrintMap"), .Names = c("occurrence", "covariate", "process", "model", "output"))) expect_equal(attr(Output(CP_work3)[[2]], 'call_path'), - structure(list(occurrence = "Chain(UKAnophelesPlumbeus, AnophelesPlumbeus)", covariate = "UKAir", process = "Chain(NoProcess, OneHundredBackground)", model = "LogisticRegression", output = "PrintMap"), + structure(list(occurrence = "Chain(UKAnophelesPlumbeus, AnophelesPlumbeus)", covariate = "UKAir", process = "Chain(NoProcess, Background)", model = "LogisticRegression", output = "PrintMap"), .Names = c("occurrence", "covariate", "process", "model", "output"))) CP_work3a <- workflow(occurrence = UKAnophelesPlumbeus, covariate = UKAir, - process = OneHundredBackground, + process = Background(n=70), model = LogisticRegression, output = PrintMap) expect_equal(attr(Model(CP_work3a), 'call_path'), - structure(list(occurrence = "UKAnophelesPlumbeus", covariate = "UKAir", process = "OneHundredBackground", model = "LogisticRegression"), + structure(list(occurrence = "UKAnophelesPlumbeus", covariate = "UKAir", process = "Background", model = "LogisticRegression"), .Names = c("occurrence", "covariate", "process", "model"))) expect_equal(attr(Output(CP_work3a), 'call_path'), - structure(list(occurrence = "UKAnophelesPlumbeus", covariate = "UKAir", process = "OneHundredBackground", model = "LogisticRegression", output = "PrintMap"), + structure(list(occurrence = "UKAnophelesPlumbeus", covariate = "UKAir", process = "Background", model = "LogisticRegression", output = "PrintMap"), .Names = c("occurrence", "covariate", "process", "model", "output"))) CP_work4 <- workflow(occurrence = UKAnophelesPlumbeus, covariate = UKAir, - process = OneHundredBackground, + process = Background(n=70), model = LogisticRegression, output = list(SurfaceMap, PerformanceMeasures)) expect_null(attr(Output(CP_work4)[[1]], 'call_path')) expect_equal(attr(Output(CP_work4)[[2]], 'call_path'), - structure(list(occurrence = "UKAnophelesPlumbeus", covariate = "UKAir", process = "OneHundredBackground", model = "LogisticRegression", output = "PerformanceMeasures"), + structure(list(occurrence = "UKAnophelesPlumbeus", covariate = "UKAir", process = "Background", model = "LogisticRegression", output = "PerformanceMeasures"), .Names = c("occurrence","covariate", "process", "model", "output"))) CP_work4b <- workflow(occurrence = UKAnophelesPlumbeus, covariate = UKAir, - process = OneHundredBackground, + process = Background(n=70), model = LogisticRegression, output = Chain(SurfaceMap, PerformanceMeasures)) expect_null(attr(Output(CP_work4b)[[1]], 'call_path')) expect_equal(attr(Output(CP_work4b)[[2]], 'call_path'), - structure(list(occurrence = "UKAnophelesPlumbeus", covariate = "UKAir", process = "OneHundredBackground", model = "LogisticRegression", output = "PerformanceMeasures"), + structure(list(occurrence = "UKAnophelesPlumbeus", covariate = "UKAir", process = "Background", model = "LogisticRegression", output = "PerformanceMeasures"), .Names = c("occurrence","covariate", "process", "model", "output"))) CP_work4c <- workflow(occurrence = UKAnophelesPlumbeus, covariate = UKAir, - process = OneHundredBackground, + process = Background(n=70), model = list(LogisticRegression, RandomForest), output = Chain(PrintMap, PerformanceMeasures)) expect_equal(attr(Output(CP_work4c)[[1]], 'call_path'), - structure(list(occurrence = "UKAnophelesPlumbeus", covariate = "UKAir", process = "OneHundredBackground", + structure(list(occurrence = "UKAnophelesPlumbeus", covariate = "UKAir", process = "Background", model = "LogisticRegression", output = "PrintMap"), .Names = c("occurrence","covariate", "process", "model", "output"))) expect_equal(attr(Output(CP_work4c)[[2]], 'call_path'), - structure(list(occurrence = "UKAnophelesPlumbeus", covariate = "UKAir", process = "OneHundredBackground", + structure(list(occurrence = "UKAnophelesPlumbeus", covariate = "UKAir", process = "Background", model = "LogisticRegression", output = "PerformanceMeasures"), .Names = c("occurrence","covariate", "process", "model", "output"))) expect_equal(attr(Output(CP_work4c)[[3]], 'call_path'), - structure(list(occurrence = "UKAnophelesPlumbeus", covariate = "UKAir", process = "OneHundredBackground", + structure(list(occurrence = "UKAnophelesPlumbeus", covariate = "UKAir", process = "Background", model = "RandomForest", output = "PrintMap"), .Names = c("occurrence","covariate", "process", "model", "output"))) expect_equal(attr(Output(CP_work4c)[[4]], 'call_path'), - structure(list(occurrence = "UKAnophelesPlumbeus", covariate = "UKAir", process = "OneHundredBackground", + structure(list(occurrence = "UKAnophelesPlumbeus", covariate = "UKAir", process = "Background", model = "RandomForest", output = "PerformanceMeasures"), .Names = c("occurrence","covariate", "process", "model", "output"))) diff --git a/tests/testthat/testplot.zoonWorkflow.r b/tests/testthat/testplot.zoonWorkflow.r index beab6f4..b16ec56 100644 --- a/tests/testthat/testplot.zoonWorkflow.r +++ b/tests/testthat/testplot.zoonWorkflow.r @@ -10,7 +10,7 @@ test_that('plot.zoonWorkflow works', { # Create a simple workflow to test on work1 <- workflow(occurrence = UKAnophelesPlumbeus, covariate = UKAir, - process = OneHundredBackground, + process = Background(n = 70), model = LogisticRegression, output = PrintMap) png(filename = file.path(directory, 'tempzoonWorkflow1.png')) @@ -24,7 +24,7 @@ test_that('plot.zoonWorkflow works', { SpOcc(species = 'Anopheles plumbeus', extent = c(-10, 10, 45, 65))), covariate = UKAir, - process = OneHundredBackground, + process = Background(n = 70), model = LogisticRegression, output = PrintMap) png(filename = file.path(directory, 'tempzoonWorkflow2.png')) @@ -38,7 +38,7 @@ test_that('plot.zoonWorkflow works', { SpOcc(species = 'Anopheles plumbeus', extent = c(-10, 10, 45, 65))), covariate = UKAir, - process = OneHundredBackground, + process = Background(n = 70), model = LogisticRegression, output = PrintMap) png(filename = file.path(directory, 'tempzoonWorkflow3.png')) @@ -94,8 +94,8 @@ test_that('plot.zoonWorkflow module not on repo', { work4 <- workflow(occurrence = UKAnophelesPlumbeus, covariate = UKAir, process = list(myMissing, - OneHundredBackground, - OneThousandBackground, + Background(n = 20), + Background(n = 70), myMissing, NoProcess), model = LogisticRegression, diff --git a/tests/testthat/testprint.zoonSummary.R b/tests/testthat/testprint.zoonSummary.R index e55ea0d..d16216f 100644 --- a/tests/testthat/testprint.zoonSummary.R +++ b/tests/testthat/testprint.zoonSummary.R @@ -7,7 +7,7 @@ test_that('print.zoonSummary tests', { set.seed(1) work1 <- workflow(occurrence = UKAnophelesPlumbeus, covariate = UKAir, - process = OneHundredBackground, + process = Background(n=70), model = LogisticRegression, output = PrintMap) diff --git a/tests/testthat/testprint.zoonWorkflow.R b/tests/testthat/testprint.zoonWorkflow.R index 52922fc..69a575b 100644 --- a/tests/testthat/testprint.zoonWorkflow.R +++ b/tests/testthat/testprint.zoonWorkflow.R @@ -7,7 +7,7 @@ test_that('print.zoonWorkflow tests', { set.seed(1) work1 <- workflow(occurrence = UKAnophelesPlumbeus, covariate = UKAir, - process = OneHundredBackground, + process = Background(n = 70), model = LogisticRegression, output = PrintMap) diff --git a/tests/testthat/testsummary.zoonWorkflow.R b/tests/testthat/testsummary.zoonWorkflow.R index 8bbd26d..e420b36 100644 --- a/tests/testthat/testsummary.zoonWorkflow.R +++ b/tests/testthat/testsummary.zoonWorkflow.R @@ -6,7 +6,7 @@ test_that('summary.zoonWorkflow tests', { set.seed(1) work1 <- workflow(occurrence = UKAnophelesPlumbeus, covariate = UKAir, - process = OneHundredBackground, + process = Background(n=70), model = LogisticRegression, output = PrintMap) From c1a6302b88786fc6625e6a8a3f4ab6de3d331c9d Mon Sep 17 00:00:00 2001 From: AugustT Date: Wed, 1 Jun 2016 11:15:03 +0100 Subject: [PATCH 03/10] More OneHundredBackground removed --- R/test_outputs.R | 10 ++++---- man/ChangeWorkflow.Rd | 2 +- man/Occurrence.Rd | 2 +- man/RerunWorkflow.Rd | 2 +- man/workflow.Rd | 2 +- tests/testthat/testChangeWorkflow.R | 28 +++++++++++----------- tests/testthat/testRerunWorkflow.R | 16 ++++++------- tests/testthat/testWholeWorkflows.R | 36 ++++++++++++++--------------- 8 files changed, 49 insertions(+), 49 deletions(-) diff --git a/R/test_outputs.R b/R/test_outputs.R index ddf7b15..d118bbf 100644 --- a/R/test_outputs.R +++ b/R/test_outputs.R @@ -64,7 +64,7 @@ test_outputs <- function(roxy_parse, modulePath){ expect_is(w <- workflow(occurrence = OccurrenceModule, covariate = NCEP(variables = 'air', extent = myExtent), - process = OneHundredBackground, + process = Background(n = 70), model = LogisticRegression, output = PrintMap), 'zoonWorkflow', @@ -75,7 +75,7 @@ test_outputs <- function(roxy_parse, modulePath){ OccurrenceModule), covariate = NCEP(variables = 'air', extent = myExtent), - process = OneHundredBackground, + process = Background(n = 70), model = LogisticRegression, output = PrintMap), 'zoonWorkflow', @@ -181,7 +181,7 @@ test_outputs <- function(roxy_parse, modulePath){ expect_is(w <- workflow(occurrence = NaiveRandomPresence(extent = myExtent, seed = 123), covariate = CovariateModule, - process = OneHundredBackground, + process = Background(n = 70), model = LogisticRegression, output = PrintMap), 'zoonWorkflow', @@ -191,7 +191,7 @@ test_outputs <- function(roxy_parse, modulePath){ expect_is(w <- workflow(occurrence = NaiveRandomPresence(extent = myExtent, seed = 123), covariate = Chain(CovariateModule, CovariateModule), - process = OneHundredBackground, + process = Background(n = 70), model = LogisticRegression, output = PrintMap), 'zoonWorkflow', @@ -278,7 +278,7 @@ test_outputs <- function(roxy_parse, modulePath){ # Chained expect_is(w <- workflow(occurrence = UKAnophelesPlumbeus, covariate = UKAir, - process = Chain(OneHundredBackground, + process = Chain(Background(n = 70), ProcessModule), model = LogisticRegression, output = PrintMap), diff --git a/man/ChangeWorkflow.Rd b/man/ChangeWorkflow.Rd index dd0fbd0..27fcb57 100644 --- a/man/ChangeWorkflow.Rd +++ b/man/ChangeWorkflow.Rd @@ -27,7 +27,7 @@ Takes a workflow object and reruns it with changes. \dontrun{ w <- workflow(UKAnophelesPlumbeus, UKAir, - OneHundredBackground, + Background(n = 70), LogisticRegression, PrintMap) diff --git a/man/Occurrence.Rd b/man/Occurrence.Rd index 41a7cf3..362569c 100644 --- a/man/Occurrence.Rd +++ b/man/Occurrence.Rd @@ -30,7 +30,7 @@ These functions access the output from each module type. If workflows \dontrun{ work1 <- workflow(occurrence = UKAnophelesPlumbeus, covariate = UKAir, - process = OneHundredBackground, + process = Background(n = 70), model = list(LogisticRegression, LogisticRegression), output = PrintMap) diff --git a/man/RerunWorkflow.Rd b/man/RerunWorkflow.Rd index c6c7495..ec7a4e3 100644 --- a/man/RerunWorkflow.Rd +++ b/man/RerunWorkflow.Rd @@ -24,7 +24,7 @@ Takes a workflow object and reruns it. \dontrun{ w <- workflow(UKAnophelesPlumbeus, UKAir, - OneHundredBackground, + Background(n = 70), LogisticRegression, PrintMap) diff --git a/man/workflow.Rd b/man/workflow.Rd index 8edca0e..16fdf25 100644 --- a/man/workflow.Rd +++ b/man/workflow.Rd @@ -41,7 +41,7 @@ This is the main function of zoon. The arguments should specify at least five work1 <- workflow(occurrence = UKAnophelesPlumbeus, covariate = UKAir, - process = OneHundredBackground, + process = Background(n = 70), model = LogisticRegression, output = SameTimePlaceMap) diff --git a/tests/testthat/testChangeWorkflow.R b/tests/testthat/testChangeWorkflow.R index 6182c68..432dd77 100644 --- a/tests/testthat/testChangeWorkflow.R +++ b/tests/testthat/testChangeWorkflow.R @@ -8,7 +8,7 @@ test_that('ChangeWorkflow errors', { set.seed(1) w1 <- workflow(UKAnophelesPlumbeus, UKAir, - OneHundredBackground, + Background(n = 70), LogisticRegression, PrintMap) @@ -30,7 +30,7 @@ test_that('Basic ChangeWorkflow works', { set.seed(1) w1 <- workflow(UKAnophelesPlumbeus, UKAir, - OneHundredBackground, + Background(n = 70), LogisticRegression, PrintMap) @@ -38,7 +38,7 @@ test_that('Basic ChangeWorkflow works', { set.seed(1) w2 <- workflow(UKAnophelesPlumbeus, UKAir, - OneHundredBackground, + Background(n = 70), RandomForest, PrintMap) @@ -48,7 +48,7 @@ test_that('Basic ChangeWorkflow works', { expect_true(all.equal(w1[!names(w1) %in% 'session.info'], w3[!names(w3) %in% 'session.info'])) expect_true(identical(w2$call, - "workflow(occurrence = UKAnophelesPlumbeus, covariate = UKAir, process = OneHundredBackground, model = RandomForest, output = PrintMap, forceReproducible = FALSE)")) + "workflow(occurrence = UKAnophelesPlumbeus, covariate = UKAir, process = Background(n = 70), model = RandomForest, output = PrintMap, forceReproducible = FALSE)")) # Change Process, model and output @@ -61,7 +61,7 @@ test_that('Basic ChangeWorkflow works', { set.seed(1) w5 <- ChangeWorkflow(w4, - process = OneHundredBackground, + process = Background(n = 70), model = LogisticRegression, output = PrintMap) expect_true(all.equal(w1[!names(w1) %in% 'session.info'], @@ -75,7 +75,7 @@ test_that('Basic ChangeWorkflow works', { "/dev/null")) w6 <- workflow(AnophelesPlumbeus, UKBioclim, - OneHundredBackground, + Background(n = 70), LogisticRegression, PrintMap, forceReproducible = TRUE) @@ -99,7 +99,7 @@ test_that('Basic ChangeWorkflow works', { set.seed(1) w7a <- workflow(UKAnophelesPlumbeus, UKAir, - OneHundredBackground, + Background(n = 70), LogisticRegression, PerformanceMeasures) set.seed(1) @@ -118,7 +118,7 @@ test_that('ChangeWorkflow - Chains', { set.seed(1) w1 <- workflow(UKAnophelesPlumbeus, UKAir, - OneHundredBackground, + Background(n = 70), LogisticRegression, PrintMap) @@ -126,7 +126,7 @@ test_that('ChangeWorkflow - Chains', { set.seed(1) w8 <- workflow(Chain(UKAnophelesPlumbeus, UKAnophelesPlumbeus), UKAir, - OneHundredBackground, + Background(n = 70), LogisticRegression, PrintMap) @@ -142,7 +142,7 @@ test_that('ChangeWorkflow - Chains', { set.seed(1) w10 <- workflow(UKAnophelesPlumbeus, Chain(UKAir, UKAir), - OneHundredBackground, + Background(n = 70), LogisticRegression, PrintMap) @@ -175,7 +175,7 @@ test_that('ChangeWorkflow - Lists', { set.seed(1) w1 <- workflow(UKAnophelesPlumbeus, UKAir, - OneHundredBackground, + Background(n = 70), LogisticRegression, PrintMap) @@ -183,7 +183,7 @@ test_that('ChangeWorkflow - Lists', { set.seed(1) w13 <- workflow(list(UKAnophelesPlumbeus, UKAnophelesPlumbeus), UKAir, - OneHundredBackground, + Background(n = 70), LogisticRegression, PrintMap) @@ -199,7 +199,7 @@ test_that('ChangeWorkflow - Lists', { set.seed(1) w15 <- workflow(UKAnophelesPlumbeus, list(UKAir, UKAir), - OneHundredBackground, + Background(n = 70), LogisticRegression, PrintMap) @@ -229,7 +229,7 @@ test_that('More complex syntax in remaining modules works', { set.seed(1) w1 <- workflow(UKAnophelesPlumbeus, UKAir, - OneHundredBackground, + Background(n = 70), LogisticRegression, PrintMap) diff --git a/tests/testthat/testRerunWorkflow.R b/tests/testthat/testRerunWorkflow.R index cd4c99b..f2fd623 100644 --- a/tests/testthat/testRerunWorkflow.R +++ b/tests/testthat/testRerunWorkflow.R @@ -11,7 +11,7 @@ test_that('RerunWorkflow simple test', { set.seed(1) w1 <- workflow(UKAnophelesPlumbeus, UKAir, - OneHundredBackground, + Background(n = 70), LogisticRegression, PrintMap, forceReproducible = TRUE) @@ -30,7 +30,7 @@ test_that('RerunWorkflow test error', { set.seed(1) w1 <- workflow(UKAnophelesPlumbeus, UKAir, - OneHundredBackground, + Background(n = 70), LogisticRegression, PrintMap, forceReproducible = TRUE) @@ -52,7 +52,7 @@ test_that('RerunWorkflow test with NULLs', { set.seed(1) w1 <- workflow(UKAnophelesPlumbeus, UKAir, - OneHundredBackground, + Background(n = 70), LogisticRegression, PrintMap, forceReproducible = TRUE) @@ -99,7 +99,7 @@ test_that('RerunWorkflow test with Chains', { set.seed(1) w13 <- workflow(Chain(UKAnophelesPlumbeus,UKAnophelesPlumbeus), UKAir, - OneHundredBackground, + Background(n = 70), LogisticRegression, PrintMap, forceReproducible = TRUE) @@ -111,7 +111,7 @@ test_that('RerunWorkflow test with Chains', { set.seed(1) w15 <- workflow(Chain(UKAnophelesPlumbeus,UKAnophelesPlumbeus), Chain(UKAir, UKAir), - OneHundredBackground, + Background(n = 70), LogisticRegression, PrintMap, forceReproducible = TRUE) @@ -128,7 +128,7 @@ test_that('RerunWorkflow test with lists', { set.seed(1) w17 <- workflow(list(UKAnophelesPlumbeus,UKAnophelesPlumbeus), UKAir, - OneHundredBackground, + Background(n = 70), LogisticRegression, PrintMap, forceReproducible = TRUE) @@ -140,7 +140,7 @@ test_that('RerunWorkflow test with lists', { set.seed(1) w19 <- workflow(UKAnophelesPlumbeus, list(UKAir, UKAir), - OneHundredBackground, + Background(n = 70), LogisticRegression, PrintMap, forceReproducible = TRUE) @@ -157,7 +157,7 @@ test_that('RerunWorkflow test quoted modules', { set.seed(1) w21 <- workflow(occurrence = "UKAnophelesPlumbeus", covariate = UKAir, - process = OneHundredBackground, + process = Background(n = 70), model = RandomForest, output = PrintMap, forceReproducible = TRUE) diff --git a/tests/testthat/testWholeWorkflows.R b/tests/testthat/testWholeWorkflows.R index 24cfebb..81fd79d 100644 --- a/tests/testthat/testWholeWorkflows.R +++ b/tests/testthat/testWholeWorkflows.R @@ -9,7 +9,7 @@ test_that('simple, package data workflow works.', { work1 <- workflow(occurrence = UKAnophelesPlumbeus, covariate = UKAir, - process = OneHundredBackground, + process = Background(n = 70), model = LogisticRegression, output = PrintMap) @@ -39,7 +39,7 @@ test_that('Check basic quoted workflow.', { work1 <- workflow(occurrence = 'UKAnophelesPlumbeus', covariate = 'UKAir', - process = 'OneHundredBackground', + process = 'Background(n = 70)', model = 'LogisticRegression', output = 'PrintMap') @@ -68,7 +68,7 @@ test_that('modules downloading data work', { work2 <- workflow(occurrence = SpOcc(species = 'Anopheles plumbeus', extent = c(-10, 10, 45, 65)), covariate = UKAir, - process = OneHundredBackground, + process = Background(n = 70), model = RandomForest, output = PrintMap) @@ -104,32 +104,32 @@ test_that('Workflows with lists of modules work.', { SpOcc(species = 'Anopheles plumbeus', extent = c(-10, 10, 45, 65))), covariate = UKAir, - process = OneHundredBackground, + process = Background(n = 70), model = LogisticRegression, output = PrintMap) workCovarList <- workflow(occurrence = UKAnophelesPlumbeus, covariate = list(UKAir, UKAir), - process = OneHundredBackground, + process = Background(n = 70), model = LogisticRegression, output = PrintMap) # There's only 1 appropriate process module at the moment! workProcessList <- workflow(occurrence = UKAnophelesPlumbeus, covariate = UKAir, - process = list(OneHundredBackground, OneHundredBackground), + process = list(Background(n = 70), Background(n = 70)), model = LogisticRegression, output = PrintMap) workModelList <- workflow(occurrence = UKAnophelesPlumbeus, covariate = UKAir, - process = OneHundredBackground, + process = Background(n = 70), model = list(LogisticRegression, RandomForest), output = PrintMap) workOutputList <- workflow(occurrence = UKAnophelesPlumbeus, covariate = UKAir, - process = OneHundredBackground, + process = Background(n = 70), model = LogisticRegression, output = list(PrintMap, PrintMap)) @@ -178,7 +178,7 @@ test_that('only one set of multiple lists allowed.', { x <- workflow(occurrence = list(UKAnophelesPlumbeus, UKAnophelesPlumbeus), covariate = list(UKAir, UKAir), - process = OneHundredBackground, + process = Background(n = 70), model = LogisticRegression, output = PrintMap) } @@ -186,7 +186,7 @@ test_that('only one set of multiple lists allowed.', { fnc2 <- function(){ x <- workflow(occurrence = UKAnophelesPlumbeus, covariate = list(UKAir, UKAir), - process = list(OneHundredBackground,OneHundredBackground), + process = list(Background(n = 70),Background(n = 70)), model = LogisticRegression, output = PrintMap) } @@ -194,7 +194,7 @@ fnc2 <- function(){ fnc3 <- function(){ x <- workflow(occurrence = UKAnophelesPlumbeus, covariate = UKAir, - process = OneHundredBackground, + process = Background(n = 70), model = list(LogisticRegression,LogisticRegression), output = list(PrintMap, PrintMap)) } @@ -239,32 +239,32 @@ test_that('chains work.', { chain1 <- workflow(occurrence = Chain(UKAnophelesPlumbeus,UKAnophelesPlumbeus), covariate = UKAir, - process = OneHundredBackground, + process = Background(n = 70), model = LogisticRegression, output = PrintMap) chain2 <- workflow(occurrence = UKAnophelesPlumbeus, covariate = Chain(UKAir,UKAir), - process = OneHundredBackground, + process = Background(n = 70), model = LogisticRegression, output = PrintMap) chain3 <- workflow(occurrence = UKAnophelesPlumbeus, covariate = Chain(UKAir,UKAir), - process = OneHundredBackground, + process = Background(n = 70), model = LogisticRegression, output = Chain(PrintMap, PrintMap)) chain4 <- workflow(occurrence = UKAnophelesPlumbeus, covariate = UKAir, - process = OneHundredBackground, + process = Background(n = 70), model = LogisticRegression, output = Chain(PrintMap, PrintMap)) chain5 <- workflow(occurrence = UKAnophelesPlumbeus, covariate = UKAir, - process = Chain(OneHundredBackground, NoProcess), + process = Chain(Background(n = 70), NoProcess), model = LogisticRegression, output = PrintMap) @@ -442,13 +442,13 @@ test_that('Output understands which previous model was listed.', { work1 <- workflow(occurrence = UKAnophelesPlumbeus, covariate = list(LocalRaster(UKAirRas2), UKAir), - process = OneHundredBackground, + process = Background(n = 70), model = LogisticRegression, output = PrintMap) work2 <- workflow(occurrence = UKAnophelesPlumbeus, covariate = list(LocalRaster(UKAirRas2), UKAir), - process = OneHundredBackground, + process = Background(n = 70), model = LogisticRegression, output = Chain(PrintMap, PrintMap)) From 40de02c9eab9203e6170c2cfad3805dcdd613c70 Mon Sep 17 00:00:00 2001 From: AugustT Date: Wed, 1 Jun 2016 15:31:27 +0100 Subject: [PATCH 04/10] Address CRAN issues with testing scripts --- R/test_module.R | 2 +- R/test_outputs.R | 119 ++++++++++++++++-------- tests/testthat/testWholeWorkflows.R | 14 +-- tests/testthat/testprint.zoonWorkflow.R | 2 +- 4 files changed, 88 insertions(+), 49 deletions(-) diff --git a/R/test_module.R b/R/test_module.R index efa2b83..f807d1b 100644 --- a/R/test_module.R +++ b/R/test_module.R @@ -97,7 +97,7 @@ test_module <- function(modulePath){ } }) #time - expect_true(time['elapsed'] < 60, + expect_true(time['elapsed'] < 120, info = paste('Module tests should not take a long time, yours took', time['elapsed'], 'seconds, please change your defualt values so that test workflow runs do not take too long')) } \ No newline at end of file diff --git a/R/test_outputs.R b/R/test_outputs.R index d118bbf..8d34496 100644 --- a/R/test_outputs.R +++ b/R/test_outputs.R @@ -2,13 +2,29 @@ # (within a context) test_outputs <- function(roxy_parse, modulePath){ + # create enviromnet for zoon to find variables + pos <- 1 + en <- as.environment(pos) + + # Appease CRAN + # The modules in these checks appear to have no global definition + # I get around this by assigning them all to NULL here and then loading + # them in. using forcereproducile = TRUE is not an option as this does + # not allow me to use the module under test + Background <- BackgroundAndCrossvalid <- CarolinaWrenPA <- NULL + CarolinaWrenRasters <- Clean <- Crossvalidate <- LogisticRegression <- NULL + NCEP <- NaiveRandomPresence <- NoProcess <- PerformanceMeasures <- NULL + PrintMap <- RandomForest <- UKAir <- UKAnophelesPlumbeus <- NULL + + LoadModule('Background'); LoadModule('BackgroundAndCrossvalid') + LoadModule('CarolinaWrenPA'); LoadModule('CarolinaWrenRasters') + LoadModule('Clean'); LoadModule('Crossvalidate'); LoadModule('LogisticRegression') + LoadModule('NCEP'); LoadModule('NaiveRandomPresence'); LoadModule('NoProcess') + LoadModule('PerformanceMeasures'); LoadModule('PrintMap'); LoadModule('RandomForest') + LoadModule('UKAir'); LoadModule('UKAnophelesPlumbeus') + test_that('Check output formats',{ - # download.file sends tonnes of stuff to my console - # it is used internally in a number of modules - # This is a naughty fix to shut it up (I tried everything) - formals(download.file)$quiet <- TRUE - ## OCCURRENCE MODULES ## if(roxy_parse$family == 'occurrence'){ @@ -38,7 +54,7 @@ test_outputs <- function(roxy_parse, modulePath){ # Assign function OccurrenceModule <- source(modulePath)$value # this line is needed to it to the global env. where zoon looks - assign('OccurrenceModule', OccurrenceModule, env = .GlobalEnv) + assign('OccurrenceModule', OccurrenceModule, envir = en) # Get the data types sections <- roxy_parse[grepl('section', names(roxy_parse))] @@ -53,7 +69,7 @@ test_outputs <- function(roxy_parse, modulePath){ myExtent <- c(xmin, xmax, ymin, ymax) # We have to do this so that zoon can find it - assign('myExtent', myExtent, env = .GlobalEnv) + assign('myExtent', myExtent, envir = en) for(data_type in data_types){ @@ -66,7 +82,8 @@ test_outputs <- function(roxy_parse, modulePath){ extent = myExtent), process = Background(n = 70), model = LogisticRegression, - output = PrintMap), + output = PrintMap, + forceReproducible = FALSE), 'zoonWorkflow', info = 'The occurrence module did not work in a standard workflow') @@ -77,7 +94,8 @@ test_outputs <- function(roxy_parse, modulePath){ extent = myExtent), process = Background(n = 70), model = LogisticRegression, - output = PrintMap), + output = PrintMap, + forceReproducible = FALSE), 'zoonWorkflow', info = 'The occurrence module did not work when chained in a workflow') @@ -89,7 +107,8 @@ test_outputs <- function(roxy_parse, modulePath){ extent = myExtent), process = BackgroundAndCrossvalid, model = LogisticRegression, - output = PerformanceMeasures), + output = PerformanceMeasures, + forceReproducible = FALSE), 'zoonWorkflow', info = 'The occurrence module did not work when listed in a workflow with crossvalidation') @@ -102,7 +121,8 @@ test_outputs <- function(roxy_parse, modulePath){ extent = myExtent), process = NoProcess, model = LogisticRegression, - output = PrintMap), + output = PrintMap, + forceReproducible = FALSE), 'zoonWorkflow', info = 'The occurrence module did not work in a standard workflow') @@ -116,7 +136,8 @@ test_outputs <- function(roxy_parse, modulePath){ extent = myExtent), process = NoProcess, model = LogisticRegression, - output = PrintMap), + output = PrintMap, + forceReproducible = FALSE), 'zoonWorkflow', info = 'The occurrence module did not work when chained in a workflow') @@ -129,7 +150,8 @@ test_outputs <- function(roxy_parse, modulePath){ extent = myExtent), process = Crossvalidate, model = LogisticRegression, - output = PerformanceMeasures), + output = PerformanceMeasures, + forceReproducible = FALSE), 'zoonWorkflow', info = 'The occurrence module did not work when listed in a workflow with crossvalidation') @@ -167,7 +189,7 @@ test_outputs <- function(roxy_parse, modulePath){ # Assign function CovariateModule <- source(modulePath)$value # this line is needed to it to the global env. where zoon looks - assign('CovariateModule', CovariateModule, env = .GlobalEnv) + assign('CovariateModule', CovariateModule, envir = en) expect_is(extent(cov_return), "Extent", info = 'An extent could not be obtained from the object returned by the covariate module') @@ -175,7 +197,7 @@ test_outputs <- function(roxy_parse, modulePath){ myExtent <- as.vector(extent(cov_return)) # We have to do this so that zoon can find it - assign('myExtent', myExtent, env = .GlobalEnv) + assign('myExtent', myExtent, envir = en) # Normal expect_is(w <- workflow(occurrence = NaiveRandomPresence(extent = myExtent, @@ -183,7 +205,8 @@ test_outputs <- function(roxy_parse, modulePath){ covariate = CovariateModule, process = Background(n = 70), model = LogisticRegression, - output = PrintMap), + output = PrintMap, + forceReproducible = FALSE), 'zoonWorkflow', info = 'The covariate module did not work in a standard workflow') @@ -193,7 +216,8 @@ test_outputs <- function(roxy_parse, modulePath){ covariate = Chain(CovariateModule, CovariateModule), process = Background(n = 70), model = LogisticRegression, - output = PrintMap), + output = PrintMap, + forceReproducible = FALSE), 'zoonWorkflow', info = 'The covariate module did not work when chained in a workflow') @@ -203,7 +227,8 @@ test_outputs <- function(roxy_parse, modulePath){ covariate = list(CovariateModule, CovariateModule), process = BackgroundAndCrossvalid, model = LogisticRegression, - output = PrintMap), + output = PrintMap, + forceReproducible = FALSE), 'zoonWorkflow', info = 'The covariate module did not work when listed in a workflow with crossvalidation') @@ -222,7 +247,7 @@ test_outputs <- function(roxy_parse, modulePath){ # assign the module ProcessModule <- source(modulePath)$value # this line is needed to it to the global env. where zoon looks - assign('ProcessModule', ProcessModule, env = .GlobalEnv) + assign('ProcessModule', ProcessModule, envir = en) for(data_type in c("presence/absence", "presence-only")){ @@ -271,7 +296,8 @@ test_outputs <- function(roxy_parse, modulePath){ covariate = CarolinaWrenRasters, process = ProcessModule, model = LogisticRegression, - output = PrintMap), + output = PrintMap, + forceReproducible = FALSE), 'zoonWorkflow', info = 'The process module did not work in a standard workflow') @@ -281,7 +307,8 @@ test_outputs <- function(roxy_parse, modulePath){ process = Chain(Background(n = 70), ProcessModule), model = LogisticRegression, - output = PrintMap), + output = PrintMap, + forceReproducible = FALSE), 'zoonWorkflow', info = 'The process module did not work in a chain workflow') @@ -291,7 +318,8 @@ test_outputs <- function(roxy_parse, modulePath){ process = list(Crossvalidate, ProcessModule), model = LogisticRegression, - output = PrintMap), + output = PrintMap, + forceReproducible = FALSE), 'zoonWorkflow', info = 'The process module did not work in a list workflow') @@ -303,17 +331,19 @@ test_outputs <- function(roxy_parse, modulePath){ covariate = UKAir, process = ProcessModule, model = RandomForest, - output = PrintMap), + output = PrintMap, + forceReproducible = FALSE), 'zoonWorkflow', info = 'The process module did not work in a standard workflow') # Chain expect_is(w <- workflow(occurrence = UKAnophelesPlumbeus, covariate = UKAir, - process = list(Clean, + process = list(NoProcess, ProcessModule), model = RandomForest, - output = PrintMap), + output = PrintMap, + forceReproducible = FALSE), 'zoonWorkflow', info = 'The process module did not work in a chain workflow') @@ -323,7 +353,8 @@ test_outputs <- function(roxy_parse, modulePath){ process = list(NoProcess, ProcessModule), model = RandomForest, - output = PrintMap), + output = PrintMap, + forceReproducible = FALSE), 'zoonWorkflow', info = 'The process module did not work in a list workflow') } @@ -344,7 +375,7 @@ test_outputs <- function(roxy_parse, modulePath){ # assign the module ModelModule <- source(modulePath)$value # this line is needed to it to the global env. where zoon looks - assign('ModelModule', ModelModule, env = .GlobalEnv) + assign('ModelModule', ModelModule, envir = en) if(length(data_types) > 0){ @@ -403,27 +434,30 @@ test_outputs <- function(roxy_parse, modulePath){ # normal expect_is(w <- workflow(occurrence = CarolinaWrenPA, covariate = CarolinaWrenRasters, - process = Clean, + process = NoProcess, model = ModelModule, - output = PrintMap), + output = PrintMap, + forceReproducible = FALSE), 'zoonWorkflow', info = 'The model module did not work in a standard workflow') # Chained expect_is(w <- workflow(occurrence = CarolinaWrenPA, covariate = CarolinaWrenRasters, - process = Chain(Clean, NoProcess), + process = Chain(NoProcess, NoProcess), model = ModelModule, - output = PrintMap), + output = PrintMap, + forceReproducible = FALSE), 'zoonWorkflow', info = 'The model module did not work in a chain workflow') # list expect_is(w <- workflow(occurrence = CarolinaWrenPA, covariate = CarolinaWrenRasters, - process = Clean, + process = NoProcess, model = list(ModelModule, ModelModule), - output = PrintMap), + output = PrintMap, + forceReproducible = FALSE), 'zoonWorkflow', info = 'The process module did not work in a list workflow') @@ -432,7 +466,8 @@ test_outputs <- function(roxy_parse, modulePath){ covariate = CarolinaWrenRasters, process = Crossvalidate, model = list(ModelModule, ModelModule), - output = PerformanceMeasures), + output = PerformanceMeasures, + forceReproducible = FALSE), 'zoonWorkflow', info = 'The process module did not work in a crossvalidation workflow') @@ -444,17 +479,19 @@ test_outputs <- function(roxy_parse, modulePath){ covariate = UKAir, process = Background(n = 70), model = ModelModule, - output = PrintMap), + output = PrintMap, + forceReproducible = FALSE), 'zoonWorkflow', info = 'The process module did not work in a standard workflow') # Chain expect_is(w <- workflow(occurrence = UKAnophelesPlumbeus, covariate = UKAir, - process = list(Clean, + process = list(NoProcess, Background(n = 70)), model = ModelModule, - output = PrintMap), + output = PrintMap, + forceReproducible = FALSE), 'zoonWorkflow', info = 'The process module did not work in a chain workflow') @@ -463,7 +500,8 @@ test_outputs <- function(roxy_parse, modulePath){ covariate = UKAir, process = Background(n = 70), model = list(ModelModule, ModelModule), - output = PrintMap), + output = PrintMap, + forceReproducible = FALSE), 'zoonWorkflow', info = 'The process module did not work in a list workflow') @@ -472,7 +510,8 @@ test_outputs <- function(roxy_parse, modulePath){ covariate = UKAir, process = Chain(Background(n = 70), Crossvalidate), model = ModelModule, - output = PerformanceMeasures), + output = PerformanceMeasures, + forceReproducible = FALSE), 'zoonWorkflow', info = 'The process module did not work in a crossvalidation workflow') } @@ -494,7 +533,7 @@ test_outputs <- function(roxy_parse, modulePath){ # assign the module OutputModule <- source(modulePath)$value # this line is needed to it to the global env. where zoon looks - assign('OutputModule', OutputModule, env = .GlobalEnv) + assign('OutputModule', OutputModule, envir = en) ## ADD IN TEST OF OUTPUTS IF WE DECIDE THEY SHOULD CHAIN ## diff --git a/tests/testthat/testWholeWorkflows.R b/tests/testthat/testWholeWorkflows.R index 81fd79d..8d2e590 100644 --- a/tests/testthat/testWholeWorkflows.R +++ b/tests/testthat/testWholeWorkflows.R @@ -21,7 +21,7 @@ test_that('simple, package data workflow works.', { expect_equal(dim(work1$covariate.output[[1]]), c(9,9,1)) expect_equal(names(work1$process.output[[1]]$df), c('value', 'type', 'fold', 'longitude', 'latitude', 'layer')) - expect_equal(dim(work1$process.output[[1]][[1]]), c(269, 6)) + expect_equal(dim(work1$process.output[[1]][[1]]), c(258, 6)) expect_is((work1$model.output[[1]])$model, c('zoonModel')) expect_is((work1$model.output[[1]])$model$model, c('glm', 'lm')) expect_is((work1$model.output[[1]])$data, c('data.frame')) @@ -39,7 +39,7 @@ test_that('Check basic quoted workflow.', { work1 <- workflow(occurrence = 'UKAnophelesPlumbeus', covariate = 'UKAir', - process = 'Background(n = 70)', + process = 'Background', model = 'LogisticRegression', output = 'PrintMap') @@ -274,7 +274,7 @@ test_that('chains work.', { expect_equal(dim(chain1$covariate.output[[1]]), c(9,9,1)) expect_equal(names(chain1$process.output[[1]]$df), c('value', 'type', 'fold', 'longitude', 'latitude', 'layer')) - expect_equal(dim(chain1$process.output[[1]]$df), c(457, 6)) + expect_equal(dim(chain1$process.output[[1]]$df), c(446, 6)) expect_is((chain1$model.output[[1]])$model, c('zoonModel')) expect_is((chain1$model.output[[1]])$model$model, c('glm', 'lm')) expect_is(chain1$report[[1]], 'RasterLayer') @@ -289,7 +289,7 @@ test_that('chains work.', { expect_equal(dim(chain2$covariate.output[[1]]), c(9,9,2)) expect_equal(names(chain2$process.output[[1]]$df), c('value', 'type', 'fold', 'longitude', 'latitude', 'layer.1', 'layer.2')) - expect_equal(dim(chain2$process.output[[1]]$df), c(269, 7)) + expect_equal(dim(chain2$process.output[[1]]$df), c(258, 7)) expect_is((chain2$model.output[[1]])$model, c('zoonModel')) expect_is((chain2$model.output[[1]])$model$model, c('glm', 'lm')) expect_is(chain2$report[[1]], 'RasterLayer') @@ -304,7 +304,7 @@ test_that('chains work.', { expect_equal(dim(chain3$covariate.output[[1]]), c(9,9,2)) expect_equal(names(chain3$process.output[[1]]$df), c('value', 'type', 'fold', 'longitude', 'latitude', 'layer.1', 'layer.2')) - expect_equal(dim(chain3$process.output[[1]]$df), c(269, 7)) + expect_equal(dim(chain3$process.output[[1]]$df), c(258, 7)) expect_is((chain3$model.output[[1]])$model, c('zoonModel')) expect_is((chain3$model.output[[1]])$model$model, c('glm', 'lm')) expect_is(chain3$report[[1]], 'list') @@ -319,7 +319,7 @@ test_that('chains work.', { expect_equal(dim(chain4$covariate.output[[1]]), c(9,9,1)) expect_equal(names(chain4$process.output[[1]]$df), c('value', 'type', 'fold', 'longitude', 'latitude', 'layer')) - expect_equal(dim(chain4$process.output[[1]]$df), c(269, 6)) + expect_equal(dim(chain4$process.output[[1]]$df), c(258, 6)) expect_is((chain4$model.output[[1]])$model, c('zoonModel')) expect_is((chain4$model.output[[1]])$model$model, c('glm', 'lm')) expect_is(chain4$report[[1]], 'list') @@ -334,7 +334,7 @@ test_that('chains work.', { expect_equal(dim(chain5$covariate.output[[1]]), c(9,9,1)) expect_equal(names(chain5$process.output[[1]]$df), c('value', 'type', 'fold', 'longitude', 'latitude', 'layer')) - expect_equal(dim(chain5$process.output[[1]]$df), c(269, 6)) + expect_equal(dim(chain5$process.output[[1]]$df), c(258, 6)) expect_is((chain5$model.output[[1]])$model, c('zoonModel')) expect_is((chain5$model.output[[1]])$model$model, c('glm', 'lm')) expect_is(chain5$report[[1]], 'RasterLayer') diff --git a/tests/testthat/testprint.zoonWorkflow.R b/tests/testthat/testprint.zoonWorkflow.R index 69a575b..10f84fd 100644 --- a/tests/testthat/testprint.zoonWorkflow.R +++ b/tests/testthat/testprint.zoonWorkflow.R @@ -16,7 +16,7 @@ test_that('print.zoonWorkflow tests', { expect_identical(sum_out, c("zoonWorkflow Object", "===================", "", - "Call: workflow(occurrence = UKAnophelesPlumbeus, covariate = UKAir, process = OneHundredBackground, model = LogisticRegression, output = PrintMap, forceReproducible = FALSE) " + "Call: workflow(occurrence = UKAnophelesPlumbeus, covariate = UKAir, process = Background(n = 70), model = LogisticRegression, output = PrintMap, forceReproducible = FALSE) " )) }) From bf76503d70da1678a0b863535221beed3944ccfc Mon Sep 17 00:00:00 2001 From: AugustT Date: Wed, 1 Jun 2016 16:53:15 +0100 Subject: [PATCH 05/10] Add packages used by modules in testing into the description and namespace. --- DESCRIPTION | 7 ++++++- NAMESPACE | 8 ++++++++ R/test_outputs.R | 6 ++++++ 3 files changed, 20 insertions(+), 1 deletion(-) diff --git a/DESCRIPTION b/DESCRIPTION index 1250dae..564f26a 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -15,7 +15,12 @@ Imports: rfigshare, methods, testthat, - roxygen2 + roxygen2, + maxlike, + scrubr, + RNCEP, + SDMTools, + randomForest Depends: raster (>= 2.4-20), R (>= 3.2.0) diff --git a/NAMESPACE b/NAMESPACE index 6c82c44..1e36c95 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -30,17 +30,25 @@ export(ZoonPredict) export(workflow) import(RCurl) import(dismo) +import(maxlike) import(methods) +import(randomForest) import(raster) import(roxygen2) import(testthat) importFrom(RCurl,url.exists) +importFrom(RNCEP,NCEP.gather) +importFrom(SDMTools,auc) +importFrom(SDMTools,confusion.matrix) importFrom(graphics,par) importFrom(graphics,plot.new) importFrom(graphics,rect) importFrom(graphics,segments) importFrom(graphics,strwidth) importFrom(rfigshare,fs_new_article) +importFrom(scrubr,coord_impossible) +importFrom(scrubr,coord_incomplete) +importFrom(scrubr,coord_unlikely) importFrom(utils,browseURL) importFrom(utils,capture.output) importFrom(utils,download.file) diff --git a/R/test_outputs.R b/R/test_outputs.R index 8d34496..82f9b74 100644 --- a/R/test_outputs.R +++ b/R/test_outputs.R @@ -1,3 +1,9 @@ +#' @import maxlike +#' @importFrom scrubr coord_impossible coord_incomplete coord_unlikely +#' @importFrom RNCEP NCEP.gather +#' @importFrom SDMTools auc confusion.matrix +#' @import randomForest +#' # A function for testing the outputs conform to the expected # (within a context) test_outputs <- function(roxy_parse, modulePath){ From 695cdf254ae74b18dfb5c4aee519d1f084331b7b Mon Sep 17 00:00:00 2001 From: AugustT Date: Thu, 2 Jun 2016 09:26:48 +0100 Subject: [PATCH 06/10] Attempt to fix failure on travis --- R/test_outputs.R | 1 + 1 file changed, 1 insertion(+) diff --git a/R/test_outputs.R b/R/test_outputs.R index 82f9b74..e9380a2 100644 --- a/R/test_outputs.R +++ b/R/test_outputs.R @@ -3,6 +3,7 @@ #' @importFrom RNCEP NCEP.gather #' @importFrom SDMTools auc confusion.matrix #' @import randomForest +#' @import raster #' # A function for testing the outputs conform to the expected # (within a context) From ea9f6c5e0c6ac38b217d850dd189d81a7eecf4bf Mon Sep 17 00:00:00 2001 From: AugustT Date: Fri, 3 Jun 2016 15:07:12 +0100 Subject: [PATCH 07/10] Improve formatting of roxygen blocks --- R/BuildModule.R | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/R/BuildModule.R b/R/BuildModule.R index 768df1a..4b30be7 100644 --- a/R/BuildModule.R +++ b/R/BuildModule.R @@ -115,7 +115,7 @@ BuildModule <- function(object, type, dir='.', title = '', description = '', # Sort out parameter formating. paraNames <- names(paras) - paraDocs <- paste(sapply(paraNames, function(x) paste("#' @param", x, paras[x])), collapse="#'\n") + paraDocs <- paste(sapply(paraNames, function(x) paste("\n#'\n#' @param", x, paras[x])), collapse="") # Roxygen2 uses @ as a tag. So have to double it. email <- gsub('@', '@@', email) @@ -135,7 +135,7 @@ BuildModule <- function(object, type, dir='.', title = '', description = '', "\n#'\n#' @title ", title, "\n#'\n#' @description ", description, "\n#'\n#' @details ", details, - "\n#'\n", paraDocs, + paraDocs, "\n#'\n#' @family ", type, "\n#'\n#' @author ", authors, ', ', '\\email{', email, '}', dataType, From 4b4e9e338b10bc7b8012769064b5d3404a37e2ad Mon Sep 17 00:00:00 2001 From: AugustT Date: Fri, 3 Jun 2016 17:36:18 +0100 Subject: [PATCH 08/10] Update tests to remove dependencies. Update namespace and description file accordingly. --- DESCRIPTION | 3 - NAMESPACE | 5 -- R/test_outputs.R | 209 ++++++++++++++++++++++++++++------------------- R/zoonHelpers.R | 10 +++ 4 files changed, 136 insertions(+), 91 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index 564f26a..6ceae04 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -16,9 +16,6 @@ Imports: methods, testthat, roxygen2, - maxlike, - scrubr, - RNCEP, SDMTools, randomForest Depends: diff --git a/NAMESPACE b/NAMESPACE index 1e36c95..8997d80 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -30,14 +30,12 @@ export(ZoonPredict) export(workflow) import(RCurl) import(dismo) -import(maxlike) import(methods) import(randomForest) import(raster) import(roxygen2) import(testthat) importFrom(RCurl,url.exists) -importFrom(RNCEP,NCEP.gather) importFrom(SDMTools,auc) importFrom(SDMTools,confusion.matrix) importFrom(graphics,par) @@ -46,9 +44,6 @@ importFrom(graphics,rect) importFrom(graphics,segments) importFrom(graphics,strwidth) importFrom(rfigshare,fs_new_article) -importFrom(scrubr,coord_impossible) -importFrom(scrubr,coord_incomplete) -importFrom(scrubr,coord_unlikely) importFrom(utils,browseURL) importFrom(utils,capture.output) importFrom(utils,download.file) diff --git a/R/test_outputs.R b/R/test_outputs.R index e9380a2..9707631 100644 --- a/R/test_outputs.R +++ b/R/test_outputs.R @@ -1,9 +1,5 @@ -#' @import maxlike -#' @importFrom scrubr coord_impossible coord_incomplete coord_unlikely -#' @importFrom RNCEP NCEP.gather #' @importFrom SDMTools auc confusion.matrix #' @import randomForest -#' @import raster #' # A function for testing the outputs conform to the expected # (within a context) @@ -18,29 +14,28 @@ test_outputs <- function(roxy_parse, modulePath){ # I get around this by assigning them all to NULL here and then loading # them in. using forcereproducile = TRUE is not an option as this does # not allow me to use the module under test - Background <- BackgroundAndCrossvalid <- CarolinaWrenPA <- NULL - CarolinaWrenRasters <- Clean <- Crossvalidate <- LogisticRegression <- NULL - NCEP <- NaiveRandomPresence <- NoProcess <- PerformanceMeasures <- NULL - PrintMap <- RandomForest <- UKAir <- UKAnophelesPlumbeus <- NULL - LoadModule('Background'); LoadModule('BackgroundAndCrossvalid') - LoadModule('CarolinaWrenPA'); LoadModule('CarolinaWrenRasters') - LoadModule('Clean'); LoadModule('Crossvalidate'); LoadModule('LogisticRegression') - LoadModule('NCEP'); LoadModule('NaiveRandomPresence'); LoadModule('NoProcess') - LoadModule('PerformanceMeasures'); LoadModule('PrintMap'); LoadModule('RandomForest') - LoadModule('UKAir'); LoadModule('UKAnophelesPlumbeus') - - test_that('Check output formats',{ + test_that('Check OCCURRENCE output formats',{ ## OCCURRENCE MODULES ## if(roxy_parse$family == 'occurrence'){ + Background <- BackgroundAndCrossvalid <- NULL + NaiveRandomRaster <- Crossvalidate <- LogisticRegression <- NULL + NoProcess <- PrintMap <- NULL + + ## Move these to the sections where they are needed + LoadModule('Background'); LoadModule('BackgroundAndCrossvalid') + LoadModule('Crossvalidate'); LoadModule('LogisticRegression') + LoadModule('NaiveRandomRaster');LoadModule('NoProcess') + LoadModule('PrintMap') + # Load the script source(modulePath) # Run the module with defaults suppressWarnings({ - occ_return <- do.call(roxy_parse$name, args = list()) + occ_return <- do.call(roxy_parse$name, args = list()) }) # Check the data.frame returned is as expected @@ -70,8 +65,8 @@ test_outputs <- function(roxy_parse, modulePath){ xmin <- floor(min(occ_return$longitude, na.rm = TRUE)) xmax <- ceiling(max(occ_return$longitude, na.rm = TRUE)) - ymin <- floor(min(occ_return$longitude, na.rm = TRUE)) - ymax <- ceiling(min(occ_return$longitude, na.rm = TRUE)) + ymin <- floor(min(occ_return$latitude, na.rm = TRUE)) + ymax <- ceiling(max(occ_return$latitude, na.rm = TRUE)) myExtent <- c(xmin, xmax, ymin, ymax) @@ -85,8 +80,9 @@ test_outputs <- function(roxy_parse, modulePath){ # test normal expect_is(w <- workflow(occurrence = OccurrenceModule, - covariate = NCEP(variables = 'air', - extent = myExtent), + covariate = NaiveRandomRaster(extent = myExtent, + res = 0.5, + seed = 123), process = Background(n = 70), model = LogisticRegression, output = PrintMap, @@ -97,8 +93,9 @@ test_outputs <- function(roxy_parse, modulePath){ # test Chain expect_is(w <- workflow(occurrence = Chain(OccurrenceModule, OccurrenceModule), - covariate = NCEP(variables = 'air', - extent = myExtent), + covariate = NaiveRandomRaster(extent = myExtent, + res = 0.5, + seed = 123), process = Background(n = 70), model = LogisticRegression, output = PrintMap, @@ -110,8 +107,9 @@ test_outputs <- function(roxy_parse, modulePath){ # test list + crossvalidation expect_is(w <- workflow(occurrence = list(OccurrenceModule, OccurrenceModule), - covariate = NCEP(variables = 'air', - extent = myExtent), + covariate = NaiveRandomRaster(extent = myExtent, + res = 0.5, + seed = 123), process = BackgroundAndCrossvalid, model = LogisticRegression, output = PerformanceMeasures, @@ -122,60 +120,65 @@ test_outputs <- function(roxy_parse, modulePath){ } else if(data_type == "presence/absence"){ - # test normal - expect_is(w <- workflow(occurrence = OccurrenceModule, - covariate = NCEP(variables = 'air', - extent = myExtent), - process = NoProcess, - model = LogisticRegression, - output = PrintMap, - forceReproducible = FALSE), - 'zoonWorkflow', - info = 'The occurrence module did not work in a standard workflow') - - # test this - Occurrence(w) - - # test Chain - expect_is(w <- workflow(occurrence = Chain(OccurrenceModule, - OccurrenceModule), - covariate = NCEP(variables = 'air', - extent = myExtent), - process = NoProcess, - model = LogisticRegression, - output = PrintMap, - forceReproducible = FALSE), - 'zoonWorkflow', - info = 'The occurrence module did not work when chained in a workflow') - - - - # test list + crossvalidation - expect_is(w <- workflow(occurrence = list(OccurrenceModule, - OccurrenceModule), - covariate = NCEP(variables = 'air', - extent = myExtent), - process = Crossvalidate, - model = LogisticRegression, - output = PerformanceMeasures, - forceReproducible = FALSE), - 'zoonWorkflow', - info = 'The occurrence module did not work when listed in a workflow with crossvalidation') + # test normal + expect_is(w <- workflow(occurrence = OccurrenceModule, + covariate = NaiveRandomRaster(extent = myExtent, + res = 0.5, + seed = 123), + process = NoProcess, + model = LogisticRegression, + output = PrintMap, + forceReproducible = FALSE), + 'zoonWorkflow', + info = 'The occurrence module did not work in a standard workflow') + + # test Chain + expect_is(w <- workflow(occurrence = Chain(OccurrenceModule, + OccurrenceModule), + covariate = NaiveRandomRaster(extent = myExtent, + res = 0.5, + seed = 123), + process = NoProcess, + model = LogisticRegression, + output = PrintMap, + forceReproducible = FALSE), + 'zoonWorkflow', + info = 'The occurrence module did not work when chained in a workflow') + + + # test list + crossvalidation + expect_is(w <- workflow(occurrence = list(OccurrenceModule, + OccurrenceModule), + covariate = NaiveRandomRaster(extent = myExtent, + res = 0.5, + seed = 123), + process = Crossvalidate, + model = LogisticRegression, + output = PerformanceMeasures, + forceReproducible = FALSE), + 'zoonWorkflow', + info = 'The occurrence module did not work when listed in a workflow with crossvalidation') + } ## Add tests for proportion and abundance ## - - - # create a modules that creates a random number of - # presence points - } - - } + }) + + test_that('Check COVARIATE output formats',{ ## COVARIATE MODULES ## if(roxy_parse$family == 'covariate'){ + Background <- BackgroundAndCrossvalid <- NULL + LogisticRegression <- NaiveRandomPresence <- NULL + PrintMap <- NULL + + ## Move these to the sections where they are needed + LoadModule('Background'); LoadModule('BackgroundAndCrossvalid') + LoadModule('LogisticRegression'); LoadModule('NaiveRandomPresence'); + LoadModule('PrintMap') + # Load the script source(modulePath) @@ -240,10 +243,26 @@ test_outputs <- function(roxy_parse, modulePath){ info = 'The covariate module did not work when listed in a workflow with crossvalidation') } + }) + + + test_that('Check PROCESS output formats',{ ## PROCESS MODULES ## if(roxy_parse$family == 'process'){ + Background <- NaiveRandomPresenceAbsence <- NULL + NaiveRandomRaster <- Crossvalidate <- LogisticRegression <- NULL + NoProcess <- NULL + PrintMap <- RandomForest <- UKAir <- UKAnophelesPlumbeus <- NULL + + ## Move these to the sections where they are needed + LoadModule('Background'); LoadModule('NaiveRandomPresenceAbsence') + LoadModule('Crossvalidate'); LoadModule('LogisticRegression') + LoadModule('NaiveRandomRaster'); LoadModule('NoProcess') + LoadModule('PrintMap'); LoadModule('RandomForest') + LoadModule('UKAir'); LoadModule('UKAnophelesPlumbeus') + # Load the script source(modulePath) @@ -299,8 +318,8 @@ test_outputs <- function(roxy_parse, modulePath){ if(data_type == "presence/absence"){ # normal - expect_is(w <- workflow(occurrence = CarolinaWrenPA, - covariate = CarolinaWrenRasters, + expect_is(w <- workflow(occurrence = NaiveRandomPresenceAbsence, + covariate = NaiveRandomRaster, process = ProcessModule, model = LogisticRegression, output = PrintMap, @@ -320,8 +339,8 @@ test_outputs <- function(roxy_parse, modulePath){ info = 'The process module did not work in a chain workflow') # list + crossvalidated - expect_is(w <- workflow(occurrence = CarolinaWrenPA, - covariate = CarolinaWrenRasters, + expect_is(w <- workflow(occurrence = NaiveRandomPresenceAbsence, + covariate = NaiveRandomRaster, process = list(Crossvalidate, ProcessModule), model = LogisticRegression, @@ -368,10 +387,23 @@ test_outputs <- function(roxy_parse, modulePath){ } } } + }) + + test_that('Check MODEL output formats',{ ## MODEL MODULES ## if(roxy_parse$family == 'model'){ + Background <- NaiveRandomRaster <- Crossvalidate <- NULL + NaiveRandomPresenceAbsence <- NoProcess <- PerformanceMeasures <- NULL + PrintMap <- UKAir <- UKAnophelesPlumbeus <- NULL + + ## Move these to the sections where they are needed + LoadModule('Background'); LoadModule('Crossvalidate') + LoadModule('NaiveRandomRaster'); LoadModule('NaiveRandomPresenceAbsence') + LoadModule('NoProcess'); LoadModule('PerformanceMeasures'); + LoadModule('PrintMap'); LoadModule('UKAir'); LoadModule('UKAnophelesPlumbeus') + # Load the script source(modulePath) @@ -439,8 +471,8 @@ test_outputs <- function(roxy_parse, modulePath){ if(data_type == "presence/absence"){ # normal - expect_is(w <- workflow(occurrence = CarolinaWrenPA, - covariate = CarolinaWrenRasters, + expect_is(w <- workflow(occurrence = NaiveRandomPresenceAbsence, + covariate = NaiveRandomRaster, process = NoProcess, model = ModelModule, output = PrintMap, @@ -449,8 +481,8 @@ test_outputs <- function(roxy_parse, modulePath){ info = 'The model module did not work in a standard workflow') # Chained - expect_is(w <- workflow(occurrence = CarolinaWrenPA, - covariate = CarolinaWrenRasters, + expect_is(w <- workflow(occurrence = NaiveRandomPresenceAbsence, + covariate = NaiveRandomRaster, process = Chain(NoProcess, NoProcess), model = ModelModule, output = PrintMap, @@ -459,8 +491,8 @@ test_outputs <- function(roxy_parse, modulePath){ info = 'The model module did not work in a chain workflow') # list - expect_is(w <- workflow(occurrence = CarolinaWrenPA, - covariate = CarolinaWrenRasters, + expect_is(w <- workflow(occurrence = NaiveRandomPresenceAbsence, + covariate = NaiveRandomRaster, process = NoProcess, model = list(ModelModule, ModelModule), output = PrintMap, @@ -469,8 +501,8 @@ test_outputs <- function(roxy_parse, modulePath){ info = 'The process module did not work in a list workflow') # crossvalidate - expect_is(w <- workflow(occurrence = CarolinaWrenPA, - covariate = CarolinaWrenRasters, + expect_is(w <- workflow(occurrence = NaiveRandomPresenceAbsence, + covariate = NaiveRandomRaster, process = Crossvalidate, model = list(ModelModule, ModelModule), output = PerformanceMeasures, @@ -526,10 +558,21 @@ test_outputs <- function(roxy_parse, modulePath){ } } } + }) + + + test_that('Check OUTPUT output formats',{ ## OUTPUT MODULES ## if(roxy_parse$family == 'output'){ + Background <- LogisticRegression <- NULL + UKAir <- UKAnophelesPlumbeus <- NULL + + ## Move these to the sections where they are needed + LoadModule('Background'); LoadModule('LogisticRegression') + LoadModule('UKAir'); LoadModule('UKAnophelesPlumbeus') + # Load the script source(modulePath) diff --git a/R/zoonHelpers.R b/R/zoonHelpers.R index 9a87cf3..c4874f3 100644 --- a/R/zoonHelpers.R +++ b/R/zoonHelpers.R @@ -359,6 +359,16 @@ FormatModuleList <- function(x){ ExtractAndCombData <- function(occurrence, ras){ + # Check for rows in the occurrence data that have missing data + NArows <- apply(occurrence[,c('longitude', 'latitude')], + 1, + function(x) any(is.na(x))) + + if(any(NArows)){ + warning(sum(NArows), ' row(s) of occurrence data have NA values for latitude/longitude and will be removed') + occurrence <- occurrence[!NArows, ] + } + # Check that all points are within the raster bad.coords <- is.na(cellFromXY(ras, occurrence[,c('longitude', 'latitude')])) From 575f3b5e8f08ff1362b05c8882867550d1a8fe62 Mon Sep 17 00:00:00 2001 From: AugustT Date: Mon, 6 Jun 2016 09:51:04 +0100 Subject: [PATCH 09/10] Merge Nicks changes --- R/zoon.R | 10 ---------- R/zoonHelpers.R | 20 +++++++++++--------- R/zzz.R | 12 +++++++++++- 3 files changed, 22 insertions(+), 20 deletions(-) diff --git a/R/zoon.R b/R/zoon.R index f4c61d1..2dc8d82 100644 --- a/R/zoon.R +++ b/R/zoon.R @@ -11,16 +11,6 @@ # # WITH REPRODUCIBLE, ACCESSIBLE & SHAREABLE SCIENTIFIC OUTPUTS IN R - - - -# name a specific sha for a state of the modules repo, for tagged -# versions of zoon, or 'master' for non-tagged versions -# .sha <- 'b1544fbadaa21c41b4b51922ae73e44923b890ed' -.sha <- 'master' - - - #'Zoon: A package for comparing multple SDM models, good model diagnostics #' and better reproducibility #'@name zoon diff --git a/R/zoonHelpers.R b/R/zoonHelpers.R index c4874f3..c309902 100644 --- a/R/zoonHelpers.R +++ b/R/zoonHelpers.R @@ -17,13 +17,12 @@ LoadModule <- function(module){ # module must be a string + # URL to module in user's favourite repo & branch + zoonURL <- sprintf('%s/%s/R/%s.R', + options('zoonRepo'), + options('zoonRepoBranch'), + module) - # Create url that matches zoon repo - # .sha will vary based on whether this is pegged to a specific version of - # modules - zoonURL <- - sprintf('https://raw.githubusercontent.com/zoonproject/modules/%s/R/%s.R', - .sha, module) # If module is a path, load module if (file.exists(module)){ txt <- parse(text = paste(readLines(module), collapse="\n")) @@ -70,10 +69,13 @@ LoadModule <- function(module){ #@name GetModule GetModule <- function(module, forceReproducible){ - zoonURL <- - paste0('https://raw.githubusercontent.com/zoonproject/modules/master/R/', - module, '.R') + # URL to module in user's favourite repo & branch + zoonURL <- sprintf('%s/%s/R/%s.R', + options('zoonRepo'), + options('zoonRepoBranch'), + module) + # If the module is in global namespace, use that function # unless forceReproduce is TRUE, in which case we want to get from repo. # diff --git a/R/zzz.R b/R/zzz.R index 2cc5462..5dca2da 100644 --- a/R/zzz.R +++ b/R/zzz.R @@ -1,6 +1,16 @@ # things to do on loading the package .onLoad <- function(libname, pkgname) { # set up a temporary directory for raster::getData calls - options(rasterDataDir = tempdir()) + if (is.null(getOption('rasterDataDir'))) { + options(rasterDataDir = tempdir()) + } + # set up the default modules repo + if (is.null(getOption('zoonRepo'))) { + options(zoonRepo = "https://raw.githubusercontent.com/zoonproject/modules") + } + # set up the default branch + if (is.null(getOption('zoonRepoBranch'))) { + options(zoonRepoBranch = "master") + } } From 15f6860db2beae7008a054e5cdd47c439aa9e029 Mon Sep 17 00:00:00 2001 From: AugustT Date: Mon, 6 Jun 2016 10:45:01 +0100 Subject: [PATCH 10/10] Vignettes updated --- inst/doc/Building_a_module.html | 31 ++++--- inst/doc/basic-zoon-usage.html | 107 ++++++++++++------------ inst/doc/interactive_zoon_usage.html | 4 +- vignettes/Building_a_module.Rmd | 32 ++++++-- vignettes/basic-zoon-usage.Rmd | 118 +++++++++++---------------- vignettes/basic_11-2.png | Bin 6290 -> 6287 bytes vignettes/basic_12-1.png | Bin 5712 -> 5711 bytes vignettes/basic_12-2.png | Bin 5865 -> 5722 bytes vignettes/basic_12-3.png | Bin 5884 -> 5950 bytes vignettes/basic_15-1.png | Bin 8500 -> 8511 bytes vignettes/basic_5-1.png | Bin 6262 -> 6294 bytes vignettes/building_cov4-1.png | Bin 5234 -> 4914 bytes vignettes/building_cov5-1.png | Bin 0 -> 6455 bytes vignettes/building_cov5-2.png | Bin 0 -> 6455 bytes vignettes/building_cov5-3.png | Bin 0 -> 7232 bytes vignettes/building_cov5-4.png | Bin 0 -> 6805 bytes vignettes/building_mod6-1.png | Bin 0 -> 8886 bytes vignettes/building_mod6-2.png | Bin 0 -> 8766 bytes vignettes/building_mod6-3.png | Bin 0 -> 8879 bytes vignettes/building_mod6-4.png | Bin 0 -> 8879 bytes vignettes/building_occ6-1.png | Bin 5873 -> 5961 bytes vignettes/building_occ7-1.png | Bin 0 -> 7155 bytes vignettes/building_occ7-2.png | Bin 0 -> 6855 bytes vignettes/building_out7-1.png | Bin 36749 -> 39545 bytes vignettes/building_out7-2.png | Bin 46999 -> 41703 bytes vignettes/building_out8-1.png | Bin 0 -> 4043 bytes vignettes/building_out8-2.png | Bin 0 -> 4002 bytes vignettes/building_out8-3.png | Bin 0 -> 4002 bytes vignettes/building_out9-1.png | Bin 10073 -> 5701 bytes vignettes/building_out9-2.png | Bin 46251 -> 46105 bytes vignettes/building_pro6-1.png | Bin 0 -> 17310 bytes vignettes/building_pro6-2.png | Bin 0 -> 6867 bytes vignettes/building_pro6-3.png | Bin 0 -> 17358 bytes vignettes/building_pro6-4.png | Bin 0 -> 17358 bytes vignettes/building_pro6-5.png | Bin 0 -> 3782 bytes vignettes/building_pro6-6.png | Bin 0 -> 3782 bytes vignettes/building_pro6-7.png | Bin 0 -> 3782 bytes vignettes/building_pro6-8.png | Bin 0 -> 3782 bytes vignettes/building_pro6-9.png | Bin 0 -> 3782 bytes vignettes/building_pro7-1.png | Bin 10200 -> 11100 bytes vignettes/interactive_zoon_usage.Rmd | 2 +- 41 files changed, 146 insertions(+), 148 deletions(-) create mode 100644 vignettes/building_cov5-1.png create mode 100644 vignettes/building_cov5-2.png create mode 100644 vignettes/building_cov5-3.png create mode 100644 vignettes/building_cov5-4.png create mode 100644 vignettes/building_mod6-1.png create mode 100644 vignettes/building_mod6-2.png create mode 100644 vignettes/building_mod6-3.png create mode 100644 vignettes/building_mod6-4.png create mode 100644 vignettes/building_occ7-1.png create mode 100644 vignettes/building_occ7-2.png create mode 100644 vignettes/building_out8-1.png create mode 100644 vignettes/building_out8-2.png create mode 100644 vignettes/building_out8-3.png create mode 100644 vignettes/building_pro6-1.png create mode 100644 vignettes/building_pro6-2.png create mode 100644 vignettes/building_pro6-3.png create mode 100644 vignettes/building_pro6-4.png create mode 100644 vignettes/building_pro6-5.png create mode 100644 vignettes/building_pro6-6.png create mode 100644 vignettes/building_pro6-7.png create mode 100644 vignettes/building_pro6-8.png create mode 100644 vignettes/building_pro6-9.png diff --git a/inst/doc/Building_a_module.html b/inst/doc/Building_a_module.html index c27c53a..9d27743 100644 --- a/inst/doc/Building_a_module.html +++ b/inst/doc/Building_a_module.html @@ -11,7 +11,7 @@ - + Codestin Search App @@ -118,7 +118,7 @@

Building modules

Tom August & Tim Lucas

-

2016-05-27

+

2016-06-06

@@ -189,7 +189,7 @@

How to build an occurrence module

process = OneHundredBackground, model = LogisticRegression, output = PrintMap) -

plot of chunk building_occ6

+

plot of chunk building_occ6

This is a nice way to debug your function and ensure you are getting the results you expect.

Once you are happy that your function is working as you expect it to you can build you code into a module using the BuildModule function in zoon. This script adds in metadata including the type of module, authors’ names, a brief description and documentation for the arguments it accepts (though this one doesn’t accept any arguments). Once BuildModule has created your module it will run it through checks to make sure has the required features, outputs data in the correct format, etc. Checking can be turned off by setting the argument check = FALSE.

# Let's build our module
@@ -204,7 +204,8 @@ 
How to build an occurrence module

             author = 'A.B. Ceidi',
             email = 'ABCD@anemail.com',
             dataType = 'presence-only')
-
## Starting checks...done
+
## Starting checks...
+
## done
## [1] "Lorem_ipsum_UK"

This function is fairly self explanatory however it is worth noting the dataType field. This must be any of ‘presence-only’, ‘presence/absence’, ‘presence/background’, ‘abundance’ or ‘proportion’. This is important so that people using your module in the future will know what it is going to output.

BuildModule has now written an R file in our working directory containing the function and metadata, so that it can be shared with others.

@@ -262,7 +263,7 @@

How to write a covariate module

process = OneHundredBackground, model = LogisticRegression, output = PrintMap) -

plot of chunk building_cov4

+

plot of chunk building_cov4

Once we are happy with the function we have written we need to use the BuildModule function to convert our function into a module by adding in the necessary metadata. Once BuildModule has created your module it will run it through checks to make sure has the required features, outputs data in the correct format, etc. Checking can be turned off by setting the argument check = FALSE.

# Build our module
 BuildModule(AustraliaAir,
@@ -281,7 +282,8 @@ 
How to write a covariate module

                          'you wish to return. This can include any number of',
                          "the following: 'air','hgt','rhum','shum','omega',",
                          "'uwnd','vwnd'")))
-
## Starting checks...done
+
## Starting checks...
+
## done
## [1] "AustraliaAir"

BuildModule is fairly self explanatory but it is worth noting the paras argument. This takes a named list of the parameters the module takes. This should follow the following structure; list(parameterName = ‘Parameter description.’, anotherParameter = ‘Another description.’)

Once BuildModule has been run there will be an R file in our working directory that represents our module and can be shared with others. This R script can be used as follows.

@@ -432,7 +434,8 @@

How to write a process module

dataType = c('presence-only', 'presence/absence', 'presence/background', 'abundance', 'proportion')) -
## Starting checks...done
+
## Starting checks...
+
## done
## [1] "ClipOccurrence"

Much of how to use BuildModule is self-explanatory but two parameters are worth mentioning here. The paras argument takes a named list of the parameters the module takes. This should follow the following structure; list(parameterName = ‘Parameter description.’, anotherParameter = ‘Another description.’), but should not include the defaults (i.e. we do not include .data). dataType describes the types of occurrence data that this module will work with. Certain modules might only work with presence-only data for example. In our case, our module will work with any type of data and so we list all the data types in the dataType field.

Once BuildModule has been run there will be an R file in our working directory that represents our module and can be shared with others. This R script can be used as follows.

@@ -452,7 +455,7 @@

How to write a process module

## 0-
## 300-
## 386 records downloaded
-

plot of chunk building_pro7

+

plot of chunk building_pro7

Once we’re happy with the module, we will hopefully upload it to the zoon repository. The repository is currently under development. Visit the development pages for more information.

@@ -582,7 +585,8 @@

How to write a model module

author = 'Z. Oon', email = 'zoon@zoon.com', dataType = c('presence-only', 'presence/absence')) -
## Starting checks...done
+
## Starting checks...
+
## done
## [1] "GamGam"

This is now a run-able module.

# remove the function in our workspace else
@@ -677,7 +681,7 @@ 
How to write an output module

                    process    = OneHundredBackground,
                    model      = LogisticRegression,
                    output     = PredictNewRasterMap)
-

plot of chunk building_out7

+

plot of chunk building_out7

# Now I'm going to run it with a different raster
 library(raster)
 
@@ -696,7 +700,7 @@ 
How to write an output module

                    process    = OneHundredBackground,
                    model      = LogisticRegression,
                    output     = PredictNewRasterMap(raster = cropped))
-

plot of chunk building_out7

+

plot of chunk building_out7

# The prediction map should also be returned as a raster
 class(Output(work11))
## [1] "RasterLayer"
@@ -725,7 +729,8 @@ 
How to write an output module

                                         'the results from the model module')),
             dataType = c('presence-only', 'presence/absence', 'abundance',
                          'proportion'))
-
## Starting checks...done
+
## Starting checks...
+
## done
## [1] "PredictNewRasterMap"

Once BuildModule has created your module it will run it through checks to make sure has the required features, outputs data in the correct format, etc. Checking can be turned off by setting the argument check = FALSE. Much of how to use BuildModule is self-explanatory but two parameters are worth mentioning here. The paras argument takes a named list of the parameters the module takes in the following structure: list(parameterName = 'Parameter description.', anotherParameter = 'Another description.'), but should not include the defaults (i.e. we do not include .model or .ras). dataType describes the types of occurrence data that this module will work with. Certain modules might only work with presence-only data for example. In our case, our module will work with any type of data and so we list all the data types in the dataType field.

Once BuildModule has been run there will be an R file in our working directory that represents our module and can be shared with others. This R script can be used as follows.

@@ -744,7 +749,7 @@

How to write an output module

model = RandomForest, output = Chain(PrintMap, PredictNewRasterMap(raster = cropped))) -

plot of chunk building_out9plot of chunk building_out9

+

plot of chunk building_out9plot of chunk building_out9

Once we’re happy with the module, we will hopefully upload it to the zoon repository. The repository is currently under development. Visit the development pages for more information.

diff --git a/inst/doc/basic-zoon-usage.html b/inst/doc/basic-zoon-usage.html index 3d68437..ad687d5 100644 --- a/inst/doc/basic-zoon-usage.html +++ b/inst/doc/basic-zoon-usage.html @@ -11,7 +11,7 @@ - + Codestin Search App @@ -118,7 +118,7 @@

Basic zoon usage

Tim Lucas and Tom August

-

2016-05-27

+

2016-06-06

@@ -150,7 +150,7 @@

Basic usage

process = OneHundredBackground, model = RandomForest, output = PrintMap) -

plot of chunk basic_5

+

plot of chunk basic_5

class(work1)
## [1] "zoonWorkflow"
str(work1, 1)
@@ -213,14 +213,8 @@

More complex analyses

process = BackgroundAndCrossvalid(k = 2), model = LogisticRegression, output = PerformanceMeasures) -
## Loading required package: SDMTools
-
## 
-## Attaching package: 'SDMTools'
-
## The following object is masked from 'package:raster':
-## 
-##     distance
## Model performance measures:
-
## auc :  0.67188731284476
+
## auc :  0.665386130811663
## kappa :  0.411378555798687
## omissions :  0
## sensitivity :  1
@@ -238,7 +232,7 @@

Multiple modules with Chain

model = LogisticRegression, output = PerformanceMeasures) 
## Model performance measures:
-
## auc :  0.668932230102443
+
## auc :  0.666896506435514
## kappa :  0.464271488887118
## omissions :  0
## sensitivity :  1
@@ -264,7 +258,7 @@

Multiple modules with list

process = OneHundredBackground, model = list(LogisticRegression, RandomForest), output = PrintMap) -

plot of chunk basic_11plot of chunk basic_11

+

plot of chunk basic_11plot of chunk basic_11

str(work4, 1)
## List of 9
 ##  $ occurrence.output:List of 1
@@ -288,7 +282,7 @@ 
Repeating a module multiple times

                   process    = Replicate(Background(n = 20), n = 3),
                   model      = RandomForest,
                   output     = PrintMap)
-

plot of chunk basic_12plot of chunk basic_12plot of chunk basic_12

+

plot of chunk basic_12plot of chunk basic_12plot of chunk basic_12

Replicate takes as its first arguement the module you want to repeat and as its second argument the number of times yo want to repeat it. Here we end up running our model three times for three different sets out background points

@@ -312,53 +306,63 @@

Auxillary information in a ZoonWorkflow

## [5] LC_TIME=English_United Kingdom.1252 ## ## attached base packages: -## [1] stats graphics grDevices utils datasets methods base +## [1] splines stats graphics grDevices utils datasets methods +## [8] base ## ## other attached packages: -## [1] SDMTools_1.1-221 randomForest_4.6-12 dismo_1.0-15 -## [4] knitr_1.13 zoon_0.5 raster_2.5-2 -## [7] sp_1.2-3 +## [1] gam_1.12 foreach_1.4.3 spocc_0.5.0 +## [4] MASS_7.3-45 SDMTools_1.1-221 randomForest_4.6-12 +## [7] dismo_1.0-15 knitr_1.13 zoon_0.5 +## [10] raster_2.5-2 sp_1.2-3 ## ## loaded via a namespace (and not attached): -## [1] Rcpp_0.12.4 formatR_1.4 plyr_1.8.3 -## [4] R.methodsS3_1.7.1 R.utils_2.3.0 bitops_1.0-6 -## [7] tools_3.3.0 testthat_1.0.2 digest_0.6.9 -## [10] memoise_1.0.0 evaluate_0.9 rfigshare_0.3.7 -## [13] gtable_0.2.0 lattice_0.20-33 yaml_2.1.13 -## [16] rgdal_1.1-9 httr_1.1.0 stringr_1.0.0 -## [19] roxygen2_5.0.1 grid_3.3.0 R6_2.1.2 -## [22] XML_3.98-1.4 rmarkdown_0.9.6 RJSONIO_1.3-0 -## [25] ggplot2_2.1.0 magrittr_1.5 scales_0.4.0 -## [28] htmltools_0.3.5 rsconnect_0.4.2.2 colorspace_1.2-6 -## [31] httpuv_1.3.3 stringi_1.0-1 RCurl_1.95-4.8 -## [34] munsell_0.4.3 crayon_1.3.1 R.oo_1.20.0 +## [1] Rcpp_0.12.5 rvertnet_0.4.4 lubridate_1.5.6 +## [4] lattice_0.20-33 assertthat_0.1 digest_0.6.9 +## [7] V8_1.0.1 R6_2.1.2 plyr_1.8.3 +## [10] chron_2.3-47 evaluate_0.9 httr_1.1.0 +## [13] rbison_0.4.8 ggplot2_2.1.0 curl_0.9.7 +## [16] data.table_1.9.6 whisker_0.3-2 R.utils_2.3.0 +## [19] R.oo_1.20.0 oai_0.2.0 rgdal_1.1-10 +## [22] stringr_1.0.0 RCurl_1.95-4.8 munsell_0.4.3 +## [25] httpuv_1.3.3 rgeos_0.3-19 geoaxe_0.1.0 +## [28] tibble_1.0 roxygen2_5.0.1 codetools_0.2-14 +## [31] XML_3.98-1.4 rgbif_0.9.3 crayon_1.3.1 +## [34] dplyr_0.4.3 bitops_1.0-6 R.methodsS3_1.7.1 +## [37] grid_3.3.0 jsonlite_0.9.20 gtable_0.2.0 +## [40] DBI_0.4-1 magrittr_1.5 formatR_1.4 +## [43] scales_0.4.0 stringi_1.1.1 mapproj_1.2-4 +## [46] ridigbio_0.3.3 rebird_0.3.0 testthat_1.0.2 +## [49] xml2_0.1.2 rfigshare_0.3.7 iterators_1.0.8 +## [52] tools_3.3.0 RJSONIO_1.3-0 maps_3.1.0 +## [55] rsconnect_0.4.3 parallel_3.3.0 yaml_2.1.13 +## [58] colorspace_1.2-6 memoise_1.0.0 
# module versions lists the modules used at each
 # step and which version number they were
 work5$module.versions
## $occurrence
 ##         [,1]                 
 ## module  "UKAnophelesPlumbeus"
-## version "1.0"                
+## version "local copy"         
 ## 
 ## $covariate
-##         [,1]   
-## module  "UKAir"
-## version "1.0"  
+##         [,1]        
+## module  "UKAir"     
+## version "local copy"
 ## 
 ## $process
 ##         [,1]         [,2]         [,3]        
 ## module  "Background" "Background" "Background"
-## version "1.1"        "1.1"        "1.1"       
+## version "local copy" "local copy" "local copy"
 ## 
 ## $model
 ##         [,1]          
 ## module  "RandomForest"
-## version "1.0"         
+## version "local copy"  
 ## 
 ## $output
-##         [,1]      
-## module  "PrintMap"
-## version "1.1"
+## [,1] +## module "PrintMap" +## version "local copy"

When using lists in a workflow (as in work4 above) the workflow becomes forked. For example when work4 was created two models where run leading to two output maps. We can easily trace back the origins of any module output using the attribute call_path

# work4 has two output maps, find the origins of the first
 # using the Output accessor function and the call_path
@@ -393,27 +397,20 @@ 
A larger example

                   output = Chain(PrintMap(plot = FALSE),
                                  PerformanceMeasures)
          )
-
## Loading required package: MASS
-
## 
-## Attaching package: 'MASS'
-
## The following objects are masked from 'package:raster':
-## 
-##     area, select
-
## Loading required package: spocc
## Model performance measures:
-
## auc :  0.506489395378284
-
## kappa :  -0.0165184243964424
+
## auc :  0.533554922443811
+
## kappa :  -0.048689138576779
## omissions :  1
## sensitivity :  0
-
## specificity :  0.987654320987654
-
## proportionCorrect :  0.666666666666667
+
## specificity :  0.962962962962963
+
## proportionCorrect :  0.65
## 
## Model performance measures:
-
## auc :  0.891737891737892
-
## kappa :  0.637305699481865
-
## omissions :  0.0769230769230769
-
## sensitivity :  0.923076923076923
-
## specificity :  0.777777777777778
+
## auc :  0.888255777144666
+
## kappa :  0.608938547486033
+
## omissions :  0.230769230769231
+
## sensitivity :  0.769230769230769
+
## specificity :  0.851851851851852
## proportionCorrect :  0.825
## 
# Take a look at the structure of the workflow object
@@ -440,7 +437,7 @@ 
A larger example

 plot(Output(work6)[[3]],
   main = paste('Random forest: AUC = ', 
              round(Output(work6)[[4]]$auc, 2)))
-

plot of chunk basic_15

+

plot of chunk basic_15

Here we are collecting occurrence data for two species, Eresus kollari and E. sandaliatus and combining them (having presumably decided that this is ecologically appropriate). We are using the air temperature data from NCEP again. We are sampling 100 pseudo absence points and running two fold crossvalidation.

We run logistic regression and random forest on the data separately. We then predict the model back over the extent of our environmental data and calculate some measures of how good the models are. Collating the output into one plot we can see the very different forms of the models and can see that the random forest has a higher AUC (implying it predicts the data better).

diff --git a/inst/doc/interactive_zoon_usage.html b/inst/doc/interactive_zoon_usage.html index 29197fe..8765d22 100644 --- a/inst/doc/interactive_zoon_usage.html +++ b/inst/doc/interactive_zoon_usage.html @@ -11,7 +11,7 @@ - + Codestin Search App @@ -118,7 +118,7 @@

Interactive zoon usage (for developers)

Tim Lucas

-

2016-05-27

+

2016-06-06

diff --git a/vignettes/Building_a_module.Rmd b/vignettes/Building_a_module.Rmd index c28c471..a755644 100644 --- a/vignettes/Building_a_module.Rmd +++ b/vignettes/Building_a_module.Rmd @@ -1,7 +1,7 @@ --- title: "Building modules" author: "Tom August & Tim Lucas" -date: '2016-05-27' +date: '2016-06-06' output: rmarkdown::html_vignette: keep_md: yes @@ -133,7 +133,11 @@ BuildModule(Lorem_ipsum_UK, ``` ``` -## Starting checks...done +## Starting checks... +``` + +``` +## done ``` ``` @@ -251,7 +255,11 @@ BuildModule(AustraliaAir, ``` ``` -## Starting checks...done +## Starting checks... +``` + +``` +## done ``` ``` @@ -481,7 +489,11 @@ BuildModule(ClipOccurrence, ``` ``` -## Starting checks...done +## Starting checks... +``` + +``` +## done ``` ``` @@ -694,7 +706,11 @@ BuildModule(object = GamGam, ``` ``` -## Starting checks...done +## Starting checks... +``` + +``` +## done ``` ``` @@ -908,7 +924,11 @@ BuildModule(PredictNewRasterMap, ``` ``` -## Starting checks...done +## Starting checks... +``` + +``` +## done ``` ``` diff --git a/vignettes/basic-zoon-usage.Rmd b/vignettes/basic-zoon-usage.Rmd index 35bd4db..ddb3de4 100644 --- a/vignettes/basic-zoon-usage.Rmd +++ b/vignettes/basic-zoon-usage.Rmd @@ -1,7 +1,7 @@ --- title: "Basic zoon usage" author: "Tim Lucas and Tom August" -date: "2016-05-27" +date: "2016-06-06" output: rmarkdown::html_vignette: toc: yes @@ -171,27 +171,12 @@ work2 <- workflow(occurrence = UKAnophelesPlumbeus, output = PerformanceMeasures) ``` -``` -## Loading required package: SDMTools -``` - -``` -## -## Attaching package: 'SDMTools' -``` - -``` -## The following object is masked from 'package:raster': -## -## distance -``` - ``` ## Model performance measures: ``` ``` -## auc : 0.67188731284476 +## auc : 0.665386130811663 ``` ``` @@ -241,7 +226,7 @@ work3 <- workflow(occurrence = UKAnophelesPlumbeus, ``` ``` -## auc : 0.668932230102443 +## auc : 0.666896506435514 ``` ``` @@ -366,26 +351,36 @@ work5$session.info ## [5] LC_TIME=English_United Kingdom.1252 ## ## attached base packages: -## [1] stats graphics grDevices utils datasets methods base +## [1] splines stats graphics grDevices utils datasets methods +## [8] base ## ## other attached packages: -## [1] SDMTools_1.1-221 randomForest_4.6-12 dismo_1.0-15 -## [4] knitr_1.13 zoon_0.5 raster_2.5-2 -## [7] sp_1.2-3 +## [1] gam_1.12 foreach_1.4.3 spocc_0.5.0 +## [4] MASS_7.3-45 SDMTools_1.1-221 randomForest_4.6-12 +## [7] dismo_1.0-15 knitr_1.13 zoon_0.5 +## [10] raster_2.5-2 sp_1.2-3 ## ## loaded via a namespace (and not attached): -## [1] Rcpp_0.12.4 formatR_1.4 plyr_1.8.3 -## [4] R.methodsS3_1.7.1 R.utils_2.3.0 bitops_1.0-6 -## [7] tools_3.3.0 testthat_1.0.2 digest_0.6.9 -## [10] memoise_1.0.0 evaluate_0.9 rfigshare_0.3.7 -## [13] gtable_0.2.0 lattice_0.20-33 yaml_2.1.13 -## [16] rgdal_1.1-9 httr_1.1.0 stringr_1.0.0 -## [19] roxygen2_5.0.1 grid_3.3.0 R6_2.1.2 -## [22] XML_3.98-1.4 rmarkdown_0.9.6 RJSONIO_1.3-0 -## [25] ggplot2_2.1.0 magrittr_1.5 scales_0.4.0 -## [28] htmltools_0.3.5 rsconnect_0.4.2.2 colorspace_1.2-6 -## [31] httpuv_1.3.3 stringi_1.0-1 RCurl_1.95-4.8 -## [34] munsell_0.4.3 crayon_1.3.1 R.oo_1.20.0 +## [1] Rcpp_0.12.5 rvertnet_0.4.4 lubridate_1.5.6 +## [4] lattice_0.20-33 assertthat_0.1 digest_0.6.9 +## [7] V8_1.0.1 R6_2.1.2 plyr_1.8.3 +## [10] chron_2.3-47 evaluate_0.9 httr_1.1.0 +## [13] rbison_0.4.8 ggplot2_2.1.0 curl_0.9.7 +## [16] data.table_1.9.6 whisker_0.3-2 R.utils_2.3.0 +## [19] R.oo_1.20.0 oai_0.2.0 rgdal_1.1-10 +## [22] stringr_1.0.0 RCurl_1.95-4.8 munsell_0.4.3 +## [25] httpuv_1.3.3 rgeos_0.3-19 geoaxe_0.1.0 +## [28] tibble_1.0 roxygen2_5.0.1 codetools_0.2-14 +## [31] XML_3.98-1.4 rgbif_0.9.3 crayon_1.3.1 +## [34] dplyr_0.4.3 bitops_1.0-6 R.methodsS3_1.7.1 +## [37] grid_3.3.0 jsonlite_0.9.20 gtable_0.2.0 +## [40] DBI_0.4-1 magrittr_1.5 formatR_1.4 +## [43] scales_0.4.0 stringi_1.1.1 mapproj_1.2-4 +## [46] ridigbio_0.3.3 rebird_0.3.0 testthat_1.0.2 +## [49] xml2_0.1.2 rfigshare_0.3.7 iterators_1.0.8 +## [52] tools_3.3.0 RJSONIO_1.3-0 maps_3.1.0 +## [55] rsconnect_0.4.3 parallel_3.3.0 yaml_2.1.13 +## [58] colorspace_1.2-6 memoise_1.0.0 ``` ```r @@ -398,27 +393,27 @@ work5$module.versions ## $occurrence ## [,1] ## module "UKAnophelesPlumbeus" -## version "1.0" +## version "local copy" ## ## $covariate -## [,1] -## module "UKAir" -## version "1.0" +## [,1] +## module "UKAir" +## version "local copy" ## ## $process ## [,1] [,2] [,3] ## module "Background" "Background" "Background" -## version "1.1" "1.1" "1.1" +## version "local copy" "local copy" "local copy" ## ## $model ## [,1] ## module "RandomForest" -## version "1.0" +## version "local copy" ## ## $output -## [,1] -## module "PrintMap" -## version "1.1" +## [,1] +## module "PrintMap" +## version "local copy" ``` When using lists in a workflow (as in `work4` above) the workflow becomes forked. For example when `work4` was created two models where run leading to two output maps. We can easily trace back the origins of any module output using the attribute `call_path` @@ -467,35 +462,16 @@ work6 <- workflow(occurrence = Chain(SpOcc(species = 'Eresus kollari', ) ``` -``` -## Loading required package: MASS -``` - -``` -## -## Attaching package: 'MASS' -``` - -``` -## The following objects are masked from 'package:raster': -## -## area, select -``` - -``` -## Loading required package: spocc -``` - ``` ## Model performance measures: ``` ``` -## auc : 0.506489395378284 +## auc : 0.533554922443811 ``` ``` -## kappa : -0.0165184243964424 +## kappa : -0.048689138576779 ``` ``` @@ -507,11 +483,11 @@ work6 <- workflow(occurrence = Chain(SpOcc(species = 'Eresus kollari', ``` ``` -## specificity : 0.987654320987654 +## specificity : 0.962962962962963 ``` ``` -## proportionCorrect : 0.666666666666667 +## proportionCorrect : 0.65 ``` ``` @@ -523,23 +499,23 @@ work6 <- workflow(occurrence = Chain(SpOcc(species = 'Eresus kollari', ``` ``` -## auc : 0.891737891737892 +## auc : 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-date: "2016-05-27" +date: "2016-06-06" output: rmarkdown::html_vignette: toc: yes

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