Note that this is a toy practice package built based on Hadley Wickham's R Packages book.
You can install the development version of practice from GitHub with:
# install.packages("devtools")
devtools::install_github("aef1004/practice")
This is a basic example which shows you how to solve a common problem:
library(practice)
## basic example code
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
#> [5] but integer where it counts
#> 8 Levels: but character counts ... 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
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