I have developed some new functions based on the previous Jenny Brian's previous fooffactor package and wanna check out the new functionality?
Jason's self made function via sort_factor()
:
library(foofactors) c <- factor(c("character", "hits", "your", "eyeballs")) levels(c) levels(sort_factor(c))
Jason's self made function via check_factor()
:
library(foofactors) a <- check_factor(c("character", "hits", "your", "eyeballs")) # This is not a factor b <- check_factor(c("but", "integer", "where it", "counts", "but")) # This is a factor
Can we soften some of their sharp edges?
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. Processing with as.data.frame()
can be helpful but it's a bit clunky.
set.seed(1234) x <- factor(sample(letters[1:5], size = 100, replace = TRUE)) table(x) as.data.frame(table(x))
The freq_out()
function returns a frequency table as a well-named tbl_df
:
freq_out(x)
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