Create Codebook Assignment

Load Packages

Import and export SPSS, STATA, SAS FILES

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

Loading required package: haven

The tidyverse is a collection of packages that make it easier for us to tidy and manipulate our data

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

Loading required package: tidyverse

── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
✔ dplyr     1.1.4     ✔ readr     2.1.5
✔ forcats   1.0.0     ✔ stringr   1.5.1
✔ ggplot2   3.5.1     ✔ tibble    3.2.1
✔ lubridate 1.9.3     ✔ tidyr     1.3.1
✔ purrr     1.0.2     
── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
✖ dplyr::filter() masks stats::filter()
✖ dplyr::lag()    masks stats::lag()
ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors

Tools to Quickly and Neatly Summarize Data

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

Loading required package: summarytools

Warning in fun(libname, pkgname): couldn't connect to display ":0"

system might not have X11 capabilities; in case of errors when using dfSummary(), set st_options(use.x11 = FALSE)


Attaching package: 'summarytools'

The following object is masked from 'package:tibble':

    view

Import Data

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

Selecting Key Variables

(dataset %>% 
  select(CoinFlip, FFM_7, Potter2) -> dataset.threevariables)

# A tibble: 122 × 3
   CoinFlip  FFM_7                          Potter2   
   <dbl+lbl> <dbl+lbl>                      <dbl+lbl> 
 1 1 [Heads] 3 [Neither agree nor diasgree] 2 [River] 
 2 2 [Tails] 2 [Disagree a little]          2 [River] 
 3 1 [Heads] 4 [Agree a little]             1 [Forest]
 4 2 [Tails] 5 [Agree Strongly]             1 [Forest]
 5 1 [Heads] 5 [Agree Strongly]             2 [River] 
 6 2 [Tails] 4 [Agree a little]             1 [Forest]
 7 2 [Tails] 4 [Agree a little]             1 [Forest]
 8 1 [Heads] 3 [Neither agree nor diasgree] 2 [River] 
 9 1 [Heads] 4 [Agree a little]             2 [River] 
10 1 [Heads] 4 [Agree a little]             1 [Forest]
# ℹ 112 more rows

Create Codebook

print(dfSummary(dataset.threevariables, graph.magnif = .75), method = "render")

Warning in png(png_loc <- tempfile(fileext = ".png"), width = 150 *
graph.magnif, : unable to open connection to X11 display ''
Warning in png(png_loc <- tempfile(fileext = ".png"), width = 150 *
graph.magnif, : unable to open connection to X11 display ''
Warning in png(png_loc <- tempfile(fileext = ".png"), width = 150 *
graph.magnif, : unable to open connection to X11 display ''

Data Frame Summary

dataset.threevariables

Dimensions: 122 x 3
Duplicates: 101

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%)

FFM_7 [haven_labelled, vctrs_vctr, double]

I see Myself as Someone Who..... - Is helpful and unselfish with others

Mean (sd) : 4.2 (0.8)
min ≤ med ≤ max:
1 ≤ 4 ≤ 5
IQR (CV) : 1 (0.2)

1	:	1	(	1.0%	)
2	:	2	(	2.0%	)
3	:	8	(	8.2%	)
4	:	52	(	53.1%	)
5	:	35	(	35.7%	)

98 (80.3%)

24 (19.7%)

Potter2 [haven_labelled, vctrs_vctr, double]

Forest or River?

Min : 1
Mean : 1.4
Max : 2

1	:	56	(	55.4%	)
2	:	45	(	44.6%	)

101 (82.8%)

21 (17.2%)

Generated by summarytools 1.0.1 (R version 4.4.1)
2024-07-02