caScatter: Scatterplot visualization facility

In CAinterprTools: Graphical Aid in Correspondence Analysis Interpretation and Significance Testings

Description

This function allows to get different types of CA scatterplots. It is just a wrapper for functions from the 'ca' and 'FactoMineR' packages.

Usage

caScatter(data, x = 1, y = 2, type)

Arguments

data	Name of the contingency table (must be in dataframe format).
x	First dimension to be plotted (x=1 by default).
y	Second dimensions to be plotted (y=2 by default).
type	Type of scatterplot to be returned (see examples).

See Also

caPlot , caPercept , caPlus , ca , plot.CA , HCPC

Examples

data(greenacre_data)

# symmetric scatterplot for rows and columns
caScatter(greenacre_data, 1, 2, type=1) 

# Standard Biplot; 2 plots are returned:
#one with row-categories vectors displayed, one for columns categories vectors.
caScatter(greenacre_data, 1, 2, type=2) 

# scaterplot of row categories with groupings
#shown by different colors; scatterplot for column categories is also returned
caScatter(greenacre_data, 1, 2, type=3) 

# 3D scatterplot with cluster tree for row categories;
#scatterplot for column categories is also returned.
caScatter(greenacre_data, 1, 2, type=4) 

CAinterprTools documentation built on July 8, 2020, 5:15 p.m.