Learning how to create a data codebook

Load Packages

haven

# Check if haven is already installed and if it is, load it.
if (!require(haven)){
  # If it's not intalled, then tell R to install it.
  install.packages("haven", dependencies = TRUE)
  # Once it's installed, tell R to load it.
  library(haven)

tidyverse

  library(tidyverse)

── Attaching core tidyverse packages ──────────────
✔ dplyr     1.1.2     ✔ readr     2.1.4
✔ forcats   1.0.0     ✔ stringr   1.5.0
✔ ggplot2   3.4.4     ✔ tibble    3.2.1
✔ lubridate 1.9.2     ✔ tidyr     1.3.0
✔ purrr     1.0.2     ── Conflicts ───────────── tidyverse_conflicts() ──
✖ dplyr::filter() masks stats::filter()
✖ dplyr::lag()    masks stats::lag()
ℹ Use the ]8;;http://conflicted.r-lib.org/conflicted package]8;; to force all conflicts to become errors

summarytools

```{r}

Error: attempt to use zero-length variable name

Import Data

dataset <- read_sav("Harry Potter Data.sav") 

Codebook

#First select the variables you'd like to summarize
dataset %>%
  select (CoinFlip, FFM_3, Potter7) -> exampleDF

#Then print them with this command
print(dfSummary(exampleDF, graph.magnif = .75), method = 'render')

Warning: unable to open connection to X11 display ''

Data Frame Summary

exampleDF

Dimensions: 122 x 3
Duplicates: 90

No	Variable	Label	Stats / Values	Freqs (% of Valid)	Graph	Valid	Missing
1	CoinFlip [haven_labelled, vctrs_vctr, double]	Flip a coin. Is it heads or tails?	Min : 1 Mean : 1.3 Max : 2	1 : 83 ( 70.3% ) 2 : 35 ( 29.7% )		118 (96.7%)	4 (3.3%)
2	FFM_3 [haven_labelled, vctrs_vctr, double]	I see Myself as Someone Who..... - Does a thorough job	Mean (sd) : 4.3 (0.8) min ≤ med ≤ max: 2 ≤ 4 ≤ 5 IQR (CV) : 1 (0.2)	2 : 4 ( 4.1% ) 3 : 10 ( 10.2% ) 4 : 40 ( 40.8% ) 5 : 44 ( 44.9% )		98 (80.3%)	24 (19.7%)
3	Potter7 [haven_labelled, vctrs_vctr, double]	Four boxes are placed before you. Which would you try and open?	Mean (sd) : 2.6 (1.2) min ≤ med ≤ max: 1 ≤ 3 ≤ 4 IQR (CV) : 2 (0.5)	1 : 25 ( 24.8% ) 2 : 24 ( 23.8% ) 3 : 21 ( 20.8% ) 4 : 31 ( 30.7% )		101 (82.8%)	21 (17.2%)

Generated by summarytools 1.0.1 (R version 4.3.2)
2024-02-20