In brad-cannell/my_functions: This Repository Is A Random Smattering Of Functions I Wrote For Myself - You Can Use Them Too

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

Load libraries

library(tidyverse)
library(bfuncs)

Load data

By default, codebook assumes that you want to make a codebook about a dataset file that you have saved somewhere, as opposed to a data frame you're working on in an r session, but don't intend to save. Therefore, the first thing you will need to do is read the data into the current R session.

For the purposes of making a self-contained example, we will actually just create an example data frame in the code chunk below and use it to demonstrate how to use codebook

set.seed(123)
df <- tibble(
  id = factor(seq(1001, 1020, 1)),
  gender = sample(c("Female", "Male"), 20, TRUE),
  date = sample(seq.Date(as.Date("2015-09-15"), as.Date("2015-10-26"), "day"), 20, TRUE),
  height = rnorm(20, 71, 10)
) %>% 
  print()

Column types

codebook classifies all columns as one of four types and uses these categories to determine which descriptive statistics are given in the codebook document:

1. Categorical with many different categories, for example id above
2. Categorical with few different categories, for example gender above
3. Time, for example date above
4. Numeric, for example height above

brad-cannell/my_functions documentation built on July 25, 2019, 4:29 p.m.