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Merged
cristinamullin merged 4 commits into from
Oct 13, 2022
Merged

Cm troubleshooting #139

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a2449d1
Harmonize function patches
cristinamullin Oct 12, 2022
a3b6a6a
updating dependencies
cristinamullin Oct 12, 2022
cee28f1
setting up env
cristinamullin Oct 12, 2022
b781b41
pages update
cristinamullin Oct 13, 2022
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57 changes: 54 additions & 3 deletions .gitignore
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Original file line number Diff line number Diff line change
Expand Up @@ -6,9 +6,60 @@ TADA.Rproj
.Rhistory
.Rapp.history

# Session Data files
.RData

# Temporary files created by R markdown
*.utf8.md
*.knit.md

# Session Data files
.RData

# tempdata folder files for TADABigdataRetrieval
AL_raw_data.rds
AR_raw_data.rds
AZ_raw_data.rds
CA_raw_data.rds
CO_raw_data.rds
CT_raw_data.rds
DC_raw_data.rds
DE_raw_data.rds
FL_raw_data.rds
GA_raw_data.rds
ID_raw_data.rds
IA_raw_data.rds
IL_raw_data.rds
IN_raw_data.rds
KS_raw_data.rds
KY_raw_data.rds
LA_raw_data.rds
ME_raw_data.rds
MD_raw_data.rds
MA_raw_data.rds
MI_raw_data.rds
MN_raw_data.rds
MS_raw_data.rds
MO_raw_data.rds
MT_raw_data.rds
NE_raw_data.rds
NV_raw_data.rds
NH_raw_data.rds
NJ_raw_data.rds
NM_raw_data.rds
NY_raw_data.rds
NC_raw_data.rds
ND_raw_data.rds
OH_raw_data.rds
OK_raw_data.rds
OR_raw_data.rds
PA_raw_data.rds
RI_raw_data.rds
SC_raw_data.rds
SD_raw_data.rds
TN_raw_data.rds
TX_raw_data.rds
UT_raw_data.rds
VT_raw_data.rds
VA_raw_data.rds
WA_raw_data.rds
WV_raw_data.rds
WI_raw_data.rds
WY_raw_data.rds
5 changes: 3 additions & 2 deletions DESCRIPTION
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Expand Up @@ -43,14 +43,15 @@ Imports:
Depends:
R (>= 3.5.0)
Suggests:
remotes,
rlang,
tidyverse,
rmarkdown,
knitr,
rmarkdown,
testthat (>= 3.0.0),
usethis,
devtools,
pkgdown,
remotes,
Rcpp,
spelling
VignetteBuilder: knitr, rmarkdown
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4 changes: 2 additions & 2 deletions R/DataDiscoveryRetrieval.R
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Expand Up @@ -343,7 +343,7 @@ TADAprofileCheck <- function(.data) {
#'
#' This function does multiple synchronous data calls to the WQP
#' (waterqualitydata.us). It uses the WQP summary service to limit the amount
#' downloaded to only relevant data, and pulls back data from 250 stations at a
#' downloaded to only relevant data, and pulls back data from 100 stations at a
#' time and then joins the data back together and produces a single TADA
#' compatible dataframe as the output. For large data sets, that can save a lot
#' of time and ultimately reduce the complexity of subsequent data processing.
Expand Down Expand Up @@ -435,7 +435,7 @@ TADABigdataRetrieval <- function(startDate = "null",
if(length(siteid_all) > 0) {

l=length(siteid_all) #len(sites)
g=250 #grouping size
g=100 #grouping size
nl=ceiling(l/g) #number of queries

i=0
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