Test For and Identify Categorical or Continuous Values
This collection of methods and utilities allows for a working with vectors at a higher level abstraction, i.e. by whether they are categorical (nominal) or continous. The functions allow for testing, identifying, selecting, mutating,etc. and work with both atomic vectors and recursive objects (table and list-like) objects in a tidyverse compliant way.
You can install from CRAN with:
install.packages("catcont")
You can install catcont from github with:
# install.packages("devtools")
devtools::install_github("decisionpatterns/catcont")
is_cat(letters) # TRUE
is_cat(factor(letters)) # TRUE
is_cat(TRUE) # TRUE
is_cat(FALSE) # TRUE
is_cat(1:10) # FALSE
is_cat(rnorm(10)) # FALSE
is_cat( Sys.Date() ) # FALSE
is_cat( complex(1,2) ) # FALSE
is_cont(letters) # FALSE
is_cont(factor(letters)) # FALSE
is_cont(TRUE) # FALSE
is_cont(FALSE) # FALSE
is_cont(1:10) # TRUE
is_cont(rnorm(10)) # TRUE
is_cont( Sys.Date() ) # TRUE
is_cont( complex(1,2) ) # TRUE
# Atomic
cat_cont(1:10)
cat_cont(letters)
# Recursive
cat_cont(iris)
which_cat(iris)
which_cat( iris, names=TRUE )
which_cont(iris)
which_cont( iris, names=TRUE )
iris %>% select_cat()
iris %>% select_cont()
iris %>% mutate_if_cat(...)
iris %>% mutate_if_cont(...)