effect_metrics_one_grouped {volker} | R Documentation |
Output a regression table with estimates and macro statistics
Description
The regression output comes from stats::lm
.
T-test is performed using stats::t.test
.
Normality check is performed using
stats::shapiro.test
.
Equality of variances across groups is assessed using car::leveneTest
.
Cohen's d is calculated using effectsize::cohens_d
.
Usage
effect_metrics_one_grouped(
data,
col,
cross,
method = "lm",
labels = TRUE,
clean = TRUE,
...
)
Arguments
data |
A tibble. |
col |
The column holding metric values. |
cross |
The column holding groups to compare. |
method |
A character vector of methods, e.g. c("t.test","lm"). Supported methods are t.test (only valid if the cross column contains two levels) and lm (regression results). |
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 list object containing volker tables with the requested statistics.
Examples
library(volker)
data <- volker::chatgpt
effect_metrics_one_grouped(data, sd_age, sd_gender)