README.md

In aef1004/practice: Practice Building a Package

practice

Note that this is a toy practice package built based on Hadley Wickham's R Packages book.

Installation

You can install the development version of practice from GitHub with:

# install.packages("devtools")
devtools::install_github("aef1004/practice")

Example

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

aef1004/practice documentation built on July 9, 2020, 12:48 a.m.