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.
You can install the released version of arkhe from CRAN with:
install.packages("arkhe")And the development version from GitHub with:
# 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,] 4 6 1 2 8
#> [2,] 6 8 2 7 10
#> [3,] NA 1 2 9 2
#> [4,] NA 9 NA 10 8
#> [5,] 5 4 3 6 6
## Count missing values in rows
count(X, f = is.na, margin = 1)
#> [1] 0 0 1 2 0
## Count non-missing values in columns
count(X, f = is.na, margin = 2, negate = TRUE)
#> [1] 3 5 4 5 5
## Find row with NA
detect(X, f = is.na, margin = 1)
#> [1] FALSE FALSE TRUE TRUE FALSE
## Find column without any NA
detect(X, f = is.na, margin = 2, negate = TRUE, all = TRUE)
#> [1] FALSE TRUE FALSE TRUE TRUE
## Remove row with any NA
discard(X, f = is.na, margin = 1, all = FALSE)
#> [,1] [,2] [,3] [,4] [,5]
#> [1,] 4 6 1 2 8
#> [2,] 6 8 2 7 10
#> [3,] 5 4 3 6 6
## Remove column with any NA
discard(X, f = is.na, margin = 2, all = FALSE)
#> [,1] [,2] [,3]
#> [1,] 6 2 8
#> [2,] 8 7 10
#> [3,] 1 9 2
#> [4,] 9 10 8
#> [5,] 4 6 6
## Replace NA with zeros
replace_NA(X, value = 0)
#> [,1] [,2] [,3] [,4] [,5]
#> [1,] 4 6 1 2 8
#> [2,] 6 8 2 7 10
#> [3,] 0 1 2 9 2
#> [4,] 0 9 0 10 8
#> [5,] 5 4 3 6 6Please 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.