Depending on your column selection, different types of plots and tables are generated. See plot_metrics and tab_metrics.
Usage
report_metrics(
data,
cols,
cross = NULL,
metric = FALSE,
...,
index = FALSE,
effect = FALSE,
title = TRUE,
close = TRUE,
clean = TRUE
)
Arguments
- data
A data frame.
- cols
A tidy column selection, e.g. a single column (without quotes) or multiple columns selected by methods such as starts_with().
- cross
Optional, a grouping or correlation column (without quotes).
- metric
When crossing variables, the cross column parameter can contain categorical or metric values. By default, the cross column selection is treated as categorical data. Set metric to TRUE, to treat it as metric and calculate correlations.
- ...
Parameters passed to the plot_metrics and tab_metrics and effect_metrics functions.
- index
When the cols contain items on a metric scale (as determined by get_direction), an index will be calculated using the 'psych' package. Set to FALSE to suppress index generation.
- effect
Whether to report statistical tests and effect sizes. See effect_counts for further parameters.
- title
A character providing the heading or TRUE (default) to output a heading. Classes for tabset pills will be added.
- close
Whether to close the last tab (default value TRUE) or to keep it open. Keep it open to add further custom tabs by adding headers on the fifth level in Markdown (e.g. ##### Method).
- clean
Prepare data by data_clean.