Learn R Programming

tna (version 1.2.0)

plot.tna_reliability: Plot Reliability Analysis Results

Description

Plot Reliability Analysis Results

Usage

# S3 method for tna_reliability
plot(x, type = "histogram", metric = "Median Abs. Diff.", ...)

Arguments

x

A tna_reliability object.

type

A character string specifying the plot type. The options are: "histogram" (default), "density", or "boxplot".

metric

A character string specifying the metric to plot. The default is the median absolute difference ("Median Abs. Diff.").

...

Ignored

See Also

Validation functions bootstrap(), deprune(), estimate_cs(), permutation_test(), permutation_test.group_tna(), plot.group_tna_bootstrap(), plot.group_tna_permutation(), plot.group_tna_stability(), plot.tna_bootstrap(), plot.tna_permutation(), plot.tna_stability(), print.group_tna_bootstrap(), print.group_tna_permutation(), print.group_tna_stability(), print.summary.group_tna_bootstrap(), print.summary.tna_bootstrap(), print.tna_bootstrap(), print.tna_clustering(), print.tna_permutation(), print.tna_reliability(), print.tna_stability(), prune(), pruning_details(), reliability(), reprune(), summary.group_tna_bootstrap(), summary.tna_bootstrap()

Examples

Run this code
# Small number of iterations for CRAN
model <- tna(engagement)
rel <- reliability(model, iter = 20)
plot(rel)

Run the code above in your browser using DataLab