ps_plotGauss — ps_plotGauss • predictSource

Function to plot and check a specified pair of analysis variables for bivariate normality.

Usage

ps_plotGauss(
  data,
  ps_groupVar,
  ps_pair,
  ps_scatterplot,
  ps_qqPlot,
  ps_identify
)

data

A matrix or data frame containing the data to be analyzed

ps_groupVar

The name for the variable defining grouping, " " if no grouping

ps_pair

A vector of length two with the names of two analytic variables to be shown in the plots

ps_scatterplot

Logical: specify whether to show scatter plots when ps_qqPlot = FALSE

ps_qqPlot

Logical: specify whether to show the q-q plots with the bootstrap envelopes and multivariate plots

ps_identify

Logical: if TRUE, user can identify points of interest in the plots

#' @return A data frame if ps_identify = FALSE) or list with the following components:

pvalues A data frame with the p-values for univariate and bivariate tests of normality
dataCheck If ps_identify = TRUE, a data frame with the information on user-identified points of interest; otherwise, NA