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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.
To cite arkhe in publications use:
Frerebeau N (2024). _arkhe: Tools for Cleaning Rectangular Data_.
Université Bordeaux Montaigne, Pessac, France.
doi:10.5281/zenodo.3526659 <https://doi.org/10.5281/zenodo.3526659>,
R package version 1.5.0, <https://packages.tesselle.org/arkhe/>.
A BibTeX entry for LaTeX users is
@Manual{,
author = {Nicolas Frerebeau},
title = {{arkhe: Tools for Cleaning Rectangular Data}},
year = {2024},
organization = {Université Bordeaux Montaigne},
address = {Pessac, France},
note = {R package version 1.5.0},
url = {https://packages.tesselle.org/arkhe/},
doi = {10.5281/zenodo.3526659},
}
This package is a part of the tesselle project
<https://www.tesselle.org>.You can install the released version of arkhe from CRAN with:
And the development version from GitHub with:
## 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,] 3 1 4 9 6
#> [2,] 8 NA 7 8 6
#> [3,] 5 9 4 4 8
#> [4,] 7 NA NA 3 4
#> [5,] 8 2 5 3 4
## Count missing values in rows
count(X, f = is.na, margin = 1)
#> [1] 0 1 0 2 0
## Count non-missing values in columns
count(X, f = is.na, margin = 2, negate = TRUE)
#> [1] 5 3 4 5 5
## Find row with NA
detect(X, f = is.na, margin = 1)
#> [1] FALSE TRUE FALSE TRUE FALSE
## Find column without any NA
detect(X, f = is.na, margin = 2, negate = TRUE, all = TRUE)
#> [1] TRUE FALSE FALSE TRUE TRUE
## Remove row with any NA
discard(X, f = is.na, margin = 1, all = FALSE)
#> [,1] [,2] [,3] [,4] [,5]
#> [1,] 3 1 4 9 6
#> [2,] 5 9 4 4 8
#> [3,] 8 2 5 3 4
## Remove column with any NA
discard(X, f = is.na, margin = 2, all = FALSE)
#> [,1] [,2] [,3]
#> [1,] 3 9 6
#> [2,] 8 8 6
#> [3,] 5 4 8
#> [4,] 7 3 4
#> [5,] 8 3 4
## Replace NA with zeros
replace_NA(X, value = 0)
#> [,1] [,2] [,3] [,4] [,5]
#> [1,] 3 1 4 9 6
#> [2,] 8 0 7 8 6
#> [3,] 5 9 4 4 8
#> [4,] 7 0 0 3 4
#> [5,] 8 2 5 3 4Please 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.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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