evaluate: evaluate

In gianmarcoalberti/CAseriation: Contingency table seriation by means of Correspondence Analysis.

Description

This function returns the Correspondence Analysis scatterplot of row/column categories with a 2nd order polynomial fit. The Rsquared value is reported in the plot's subtitle. The function allows gauging to what extent the seriation structure (if any) embedded in the data approximates to a 'perfect' seriation.

Usage

evaluate(data, x = 1, y = 2, which)

Arguments

x, y:	The dimensions to be plotted (1st and 2nd by default).
data:	Dataframe containing the contingency table to be analysed.
which:	use R for rows, C for colums.

Examples

data("cemetery"): load the dataset 'cemetery'
evaluate(cemetery,1,2,which='R'): plot the Correspondence Analysis scatterplot of row categories (using the 'cemetery' dataset), displaying the 1 and 2 dimensions; a 2nd order polynomial fit is displayed and the Rsquared value is reported.

gianmarcoalberti/CAseriation documentation built on May 17, 2019, 4:19 a.m.