In aef1004/practice: Practice Building a Package

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)

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)

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)

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