plot.rm_confusion_matrix: A plot function for the rm_confusion_matrix object

In emeyers/NDTr: The Neural Decoding Toolbox in R

Description

This function plots confusion matrices after the decoding analysis has been run (and all results have been aggregated). This function can also plot mutual information calculated from the confusion matrix.

Usage

## S3 method for class 'rm_confusion_matrix'
plot(
  x,
  ...,
  result_type = "zero_one_loss",
  plot_only_same_train_test_time = TRUE
)

Arguments

x	A rm_confusion_matrix object that has aggregated runs from a decoding analysis, e.g., if DECODING_RESULTS are the output from the run_decoding(cv) then this argument should be DECODING_RESULTS$rm_confusion_matrix.
...	This is needed to conform to the plot generic interface.
result_type	A string specifying the type of result to plot that can take the following values: "zero_one_loss": plot a regular confusion matrix. "decision_vals": plot a confusion matrix with the average decision values. "mutual_information": plot the mutual information calculated from the zero-one loss confusion matrix.
plot_only_same_train_test_time	A boolean indicating whether the confusion matrices should only be plotted at the same training and test times. If the result_type == "mutual_information" setting this to TRUE will plot a TCD plot of the mutual information otherwise it will plot a line plot of the mutual information for training and testing at the same time.

See Also

Other result_metrics: plot.rm_main_results(), rm_confusion_matrix(), rm_main_results()

emeyers/NDTr documentation built on Aug. 8, 2020, 3:41 p.m.