README.md

In kennedymwavu/preparedata: Prepare Data For Analysis And Visualization

preparedata

Functions to make data preparation easier. Preparing data entails putting your column and row names (if any) in the required format, dealing with missing values, making sure each column is of the required type.

Installation

You can install the development version of preparedata from GitHub with:

# install.packages("devtools")
devtools::install_github("kennedymwavu/preparedata")

Example

A fairly common task when dealing with strings is the need to split a string. This is what base::strsplit() and stringr::str_split() do.

(x <- "a, b, c")
#> [1] "a, b, c"

strsplit(x = x, split = ", ")
#> [[1]]
#> [1] "a" "b" "c"

stringr::str_split(string = x, pattern = ", ")
#> [[1]]
#> [1] "a" "b" "c"

Notice how the return value is a list of length 1, where the first element holds the character vector. Often, the shape of this output is inconvenient, ie. we want the unlisted version.

That’s exactly what preparedata::str_split_one() does:

library(preparedata)

str_split_one(string = x, pattern = ", ")
#> [1] "a" "b" "c"

Use str_split_one() when the input is known to be a single string. For safety, it will error when its input has a length greater than one.

str_split_one(string = c("a,b", "b,c"), pattern = ",")

Error in str_split_one(string = c(“a,b”, “b,c”), pattern = “,”) : length(string) \<= 1 is not TRUE

str_split_one() is built on top of stringr::str_split(), so you can use it’s n argument and stringr’s general interface for describing the pattern to be matched.

(x <- "a,b,c")
#> [1] "a,b,c"
str_split_one(string = x, pattern = ",", n = 2)
#> [1] "a"   "b,c"

(y <- "192.168.0.1")
#> [1] "192.168.0.1"
str_split_one(string = y, pattern = stringr::fixed("."))
#> [1] "192" "168" "0"   "1"

kennedymwavu/preparedata documentation built on March 27, 2022, 4:29 p.m.