Plot Multiple Statistics

This function iterates over a list of statistics data, resulting from a call to calc_stats(), and subsequently plots each statistic. It allows for flexible arrangement of multiple plots on a single graphics device.

Usage

# S3 method for class 'list_stats_dm'
plot(x, ..., mfrow = NULL)

Arguments

x

an object of type list_stats_dm, which is essentially a list multiple statistics, resulting from a call to calc_stats().

...

additional arguments passed to the plot function for each individual stats_dm object in x.

mfrow

an optional numeric vector of length 2, specifying the number of rows and columns for arranging multiple panels in a single plot (e.g., c(1, 3)). Plots are provided sequentially if NULL (default), using the current graphics layout of a user.

Value

Nothing (NULL; invisibly)

Details

The plot.list_stats_dm() function is "merely" a wrapper. All plotting is done by the respective plot() methods. When users want more control over each plot, it is best to call the plot() function separately for each statistic in the list (e.g., plot(x$cafs); plot(x$quantiles))

See also

plot.cafs(), plot.quantiles(), plot.delta_funs(), calc_stats()

Examples

# get a list of statistics for demonstration purpose
all_fits <- get_example_fits_ids()
stats <- calc_stats(all_fits, type = c("cafs", "quantiles"))

# then call the plot function.
plot(stats, mfrow = c(1, 2))
#> Aggregating across ID
#> Aggregating across ID