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 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
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 d 22
#> 2 c 21
#> 3 a 19
#> 4 b 19
#> 5 e 19
The fcommon()
function tests whether elements of one vector of factors
occur in a second vector of factors. The function returns a vector with
length equal to the first vector. Each element of the returned vector is
TRUE/FALSE, indicating whehter that element of the first vector of
factors occurs in the second.
x <- c("A","B")
y <- c("A","C","D")
fcommon(x,y)
#> [1] TRUE FALSE
fcommon(y,x)
#> [1] TRUE FALSE FALSE
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.