README (original) (raw)
A dependency-free collection of simple functions for cleaning rectangular data. This package allows to detect, count and replace values or discard rows/columns using a predicate function. In addition, it provides tools to check conditions and return informative error messages.
install.packages("arkhe")# install.packages("remotes")
remotes::install_github("tesselle/arkhe")## Load the package
library(arkhe)
## Create a matrix
X <- matrix(sample(1:10, 25, TRUE), nrow = 5, ncol = 5)
## Add NA
k <- sample(1:25, 3, FALSE)
X[k] <- NA
X
#> [,1] [,2] [,3] [,4] [,5]
#> [1,] 10 10 NA 7 7
#> [2,] 6 4 7 10 3
#> [3,] 7 10 5 9 6
#> [4,] 7 10 4 NA 2
#> [5,] NA 9 6 9 7
## Count missing values in rows
count(X, f = is.na, margin = 1)
#> [1] 1 0 0 1 1
## Count non-missing values in columns
count(X, f = is.na, margin = 2, negate = TRUE)
#> [1] 4 5 4 4 5
## Find row with NA
detect(X, f = is.na, margin = 1)
#> [1] TRUE FALSE FALSE TRUE TRUE
## Find column without any NA
detect(X, f = is.na, margin = 2, negate = TRUE, all = TRUE)
#> [1] FALSE TRUE FALSE FALSE TRUE
## Remove row with any NA
discard(X, f = is.na, margin = 1, all = FALSE)
#> [,1] [,2] [,3] [,4] [,5]
#> [1,] 6 4 7 10 3
#> [2,] 7 10 5 9 6
## Remove column with any NA
discard(X, f = is.na, margin = 2, all = FALSE)
#> [,1] [,2]
#> [1,] 10 7
#> [2,] 4 3
#> [3,] 10 6
#> [4,] 10 2
#> [5,] 9 7
## Replace NA with zeros
replace_NA(X, value = 0)
#> [,1] [,2] [,3] [,4] [,5]
#> [1,] 10 10 0 7 7
#> [2,] 6 4 7 10 3
#> [3,] 7 10 5 9 6
#> [4,] 7 10 4 0 2
#> [5,] 0 9 6 9 7Please note that the arkhe project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.