plot.measurement.error: Plot Function for RRPP

In RRPP: Linear Model Evaluation with Randomized Residuals in a Permutation Procedure

Plot Function for RRPP

Description

This function produces multivariate signal-to-noise ratio plots for measurement.error objects. See the function, plot.interSubVar for plotting the inter-subject variability from a measurement.error object, after applying the function, interSubVar.

Usage

## S3 method for class 'measurement.error'
plot(
  x,
  separate.by.groups = TRUE,
  add.connectors = TRUE,
  add.labels = FALSE,
  use.std.vectors = FALSE,
  titles = NULL,
  add.legend = TRUE,
  ...
)

Arguments

x	Object from measurement.error
separate.by.groups	A logical value for whether to make separate plots for each group, if different groups are available. If FALSE, groups are still represented by different symbols in the plot, unless overridden by plot arguments.
add.connectors	A logical value for whether to add connectors, like vectors, between replicate observations of the same subjects.
add.labels	A logical value for whether to label subjects. Labels are either subject name (if available) or number of occurrence in the data set.
use.std.vectors	A logical value for whether to use vectors obtained from a standardized matrix, which are orthogonal. This is not strictly necessary.
titles	An optional vector or list for augmenting the titles of plots produced. The length of the vector or list should match the number of plots produced by other arguments.
add.legend	A logical value for whether to add a legend to plots. If separate.by.groups is TRUE, adding a legend to plots will be slightly redundant. If certain parameters are augmented by user (point characters, colors), add.legend will be made to be FALSE to prevent misinterpretation of intended plotting scheme.
...	Other arguments passed onto plot

Author(s)

Michael Collyer

RRPP documentation built on Aug. 16, 2023, 1:06 a.m.