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.
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)
The fbind() function glues two factors together and returns factor.
fbind(a, b)
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)
The fcount() function returns a frequency table as a tibble with a column of factor levels and another of frequencies:
#{r} #fcount(x) #