test_pca: A list used to verify that ps_pca() is valid

test_pcaR Documentation

A list used to verify that ps_pca() is valid

Description

A list used to verify that ps_pca() is valid

Usage

test_pca

Format

A list with the following elements

usage:

A string with the contents of the argument doc, the date run, the version of R used

dataUsed:

The contents of the argument data restricted to the groups used

dataNA:

A data frame with observations containing a least one missing value for an analysis variable, NA if no missing values

params:

A list with the values of the arguments for grouping, logical parameters, Ellipses, and Colors

analyticVars:

A vector with the value of the argument AnalyticVars

ellipse_pct:

The value of the argument Ellipses

variances:

A data frame including the percent of variation explained by each principal component and the cumulative percent explained

weights:

A data frame with the principal component weights for each observation

Predicted:

A data frame with the predicted values for each principal component, plus the value of Groups and an integer GroupIndex (with values 1:number of Groups)

DataPlusPredicted:

A data frame with the data used to compute the principal components, plus GroupIndex (as defined above) and predicted values for each principal component

dataCheck:

If Identify=TRUE, a data frame with the observations in dataUsed identified as of interest

location:

The value of the parameter folder


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