In doraqmon/foofactordq: Make Factors Less Aggravating

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "README-"
)

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(foofactordq)
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:

fcount(x)

doraqmon/foofactordq documentation built on Feb. 29, 2020, 12:46 a.m.