NOTE: This is a toy package created for expository purposes, for the second edition of R Packages. It is not meant to actually be useful. If you want a package for factor handling, please see forcats.
foofactors
Factors are a very useful type of variable in R, but they can also be very aggravating. This package provides some helper functions for the care and feeding of factors.
Installation
devtools::install_github("jennybc/foofactors")
Quick demo
Binding two factors via fbind()
:
library(foofactors)
a <- factor(c("character", "hits", "your", "eyeballs"))
b <- factor(c("but", "integer", "where it", "counts"))
Simply catenating two factors leads to a result that most don't expect.
c(a, b)
#> [1] 1 3 4 2 1 3 4 2
The fbind()
function glues two factors together and returns factor.
fbind(a, b)
#> [1] character hits your eyeballs but integer where it
#> [8] counts
#> Levels: but character counts eyeballs hits integer where it your
Often we want a table of frequencies for the levels of a factor. The base table()
function returns an object of class table
, which can be inconvenient for downstream work.
set.seed(1234)
x <- factor(sample(letters[1:5], size = 100, replace = TRUE))
table(x)
#> x
#> a b c d e
#> 25 26 17 17 15
The fcount()
function returns a frequency table as a tibble with a column of factor levels and another of frequencies:
fcount(x)
#> # A tibble: 5 x 2
#> f n
#> <fct> <int>
#> 1 b 26
#> 2 a 25
#> 3 c 17
#> 4 d 17
#> 5 e 15