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.
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.
You can install foofactors like so:
devtools::install_github("jennybc/foofactors")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 2The 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 yourOften 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
#> 19 19 21 22 19The 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 d 22
#> 2 c 21
#> 3 a 19
#> 4 b 19
#> 5 e 19
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