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k5

Lifecycle: experimentalCRAN statusDownloadsCodecov test coverageR build status

The goal of ‘k5’ is to offer miscellaneous quality of life functionsused byKiernan Nicholls duringinteractive programming. They make things easier for me but arebad for scripts and packages.

Installation

You can install the release version of this package fromCRAN:

install.packages("k5")

The development version can be installed fromGitHub:

# install.packages("remotes")remotes::install_github("k5cents/k5")

Example

library(k5)packageVersion("k5")#> [1] '0.2.0'

A list of frequently used packages can be loaded from a file.

load_my_packages()#> ✔ load 19 packages from#> '/home/kiernan/R/x86_64-pc-linux-gnu-library/4.1/k5/PACKAGES'

Some functions wrap common combos likemean(x %in% y) orsum(is.na(x)).

x<-c("VT","NH","ZZ","ME",NA)prop_in(x, state.abb)#> [1] 0.75count_na(x)#> [1] 1

Some functions wrap functions from other packages with differentdefaults.

dplyr::count(mtcars, cyl)#>   cyl  n#> 1   4 11#> 2   6  7#> 3   8 14# sort and add fractionk5::count2(mtcars, cyl)#> # A tibble: 3 × 3#>     cyl     n     p#>   <dbl> <int> <dbl>#> 1     8    14 0.438#> 2     4    11 0.344#> 3     6     7 0.219

There are also some handy shortcuts for the.Last.valuetool.

df<-tail(mtcars,50)write_last()#> ℹ `.Last.value` has class 'data.frame'#> ✓ Saved tab-separated file '/tmp/RtmpFTaCH6/file15127cc7851b.tsv' (1.25K)vc<-sample(state.name,1000,replace =TRUE)write_last()#> ℹ `.Last.value` has class 'character'#> ✓ Saved line-separated file '/tmp/RtmpFTaCH6/file151235b67c89.txt' (9.19K)

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