plot_metrics {volker} | R Documentation |
Output a plot with distribution parameters such as the mean values
Description
The plot type depends on the number of selected columns:
One column: see plot_metrics_one
Multiple columns: see plot_metrics_items
One column and one grouping column: see plot_metrics_one_grouped
Multiple columns and one grouping column: see plot_metrics_items_grouped
By default, if you provide two column selections, the second column is treated as categorical. Setting the metric-parameter to TRUE will call the appropriate functions for correlation analysis:
Two metric columns: see plot_metrics_one_cor
Multiple columns: see plot_metrics_items_cor (not yet implemented)
Usage
plot_metrics(data, cols, cross = NULL, metric = FALSE, 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 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. |
clean |
Prepare data by data_clean. |
... |
Other parameters passed to the appropriate plot function. |
Value
A ggplot object.
Examples
library(volker)
data <- volker::chatgpt
plot_metrics(data, sd_age)