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)
require(tidyverse)
}
Import Data
dataset <- read_sav("Harry Potter Data.sav")
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? |
|
|
 |
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 4.3.2)
2024-02-18
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