ps_plotGauss: ps_plotGauss

In benmarwick/karon: Compositional Data Analysis of Archaeological Artefacts

ps_plotGauss

Description

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
)

Arguments

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

benmarwick/karon documentation built on July 29, 2023, 10:11 a.m.