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 the released version of foofactors from CRAN with:
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 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
#> 19 19 21 22 19
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
#> 19 19 21 22 19