Learn R - Create 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

if (!require(tidyverse)){
  install.packages("tidyverse", dependencies = TRUE)
  library(tidyverse)
}

Loading required package: tidyverse
── Attaching core tidyverse packages ───────── tidyverse 2.0.0 ──
✔ dplyr     1.1.2     ✔ readr     2.1.4
✔ forcats   1.0.0     ✔ stringr   1.5.0
✔ ggplot2   3.4.2     ✔ tibble    3.2.1
✔ lubridate 1.9.2     ✔ tidyr     1.3.0
✔ purrr     1.0.1     ── Conflicts ─────────────────────────── tidyverse_conflicts() ──
✖ ggplot2::%+%()   masks psych::%+%()
✖ ggplot2::alpha() masks psych::alpha()
✖ tidyr::expand()  masks Matrix::expand()
✖ dplyr::filter()  masks stats::filter()
✖ dplyr::lag()     masks stats::lag()
✖ tidyr::pack()    masks Matrix::pack()
✖ tidyr::unpack()  masks Matrix::unpack()
✖ tibble::view()   masks summarytools::view()
ℹ Use the ]8;;http://conflicted.r-lib.org/conflicted package]8;; to force all conflicts to become errors

summarytools

if (!require(summarytools)){
  install.packages("summarytools", dependencies = TRUE)
  library(summarytools)
}

Import Data

dataset <- read_sav("https://osf.io/kd4ej/download")

Codebook

#First select the variables you'd like to summarize
dataset %>%
  select (CoinFlip, FFM_5, 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_5 [haven_labelled, vctrs_vctr, double]	I see Myself as Someone Who..... - Is original, comes up with new ideas	Mean (sd) : 3.8 (0.8) min ≤ med ≤ max: 2 ≤ 4 ≤ 5 IQR (CV) : 1 (0.2)	2 : 6 ( 6.2% ) 3 : 26 ( 26.8% ) 4 : 50 ( 51.5% ) 5 : 15 ( 15.5% )		97 (79.5%)	25 (20.5%)
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 4.3.1)
2023-07-09