I added two new functions and three tests for each function in the package.
You can use the fbind() function to bind two factors together.
You can use the freq_out() funtion to create a data frame consisting of the levels of the factor and their frequency.
You can use the cuttable(x,a) function to cut a numeric factor "x" into "a" intervals and make a distribution table for the factor.
You can use the addPercent() function to add "%" to the factor.
#install_github("LiangqianSheng/foofactors") library(foofactors) fbind(iris$Species[c(1, 51, 101)], PlantGrowth$group[c(1, 11, 21)]) freq_out(iris$Species) cuttable(iris$Sepal.Length,3) addPercent(iris$Sepal.Length)
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