effect_metrics_items {volker} | R Documentation |
Test whether a distribution is normal for each item
Description
The test is calculated using stats::shapiro.test
.
Usage
effect_metrics_items(data, cols, labels = TRUE, clean = TRUE, ...)
Arguments
data |
A tibble containing item measures. |
cols |
The column holding metric values. |
labels |
If TRUE (default) extracts labels from the attributes, see codebook. |
clean |
Prepare data by data_clean. |
... |
Placeholder to allow calling the method with unused parameters from effect_metrics. |
Value
A volker table containing itemwise statistics:
-
skewness: Measure of asymmetry in the distribution. A value of 0 indicates perfect symmetry.
-
kurtosis: Measure of the "tailedness" of the distribution.
-
W: W-statistic from the Shapiro-Wilk normality test.
-
p: p-value for the statistical test.
-
stars: Significance stars based on p-value (*, **, ***).
-
normality: Interpretation of normality based on Shapiro-Wilk test.
Examples
library(volker)
data <- volker::chatgpt
effect_metrics_items(data, starts_with("cg_adoption"))
[Package volker version 3.1.0 Index]