XploRe Help : DOcorr

Keywords - Function groups - @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Library:	stats
See also:	DOcorrOrPoly plotDOcorr corresp

Quantlet:		DOcorr
Description:		performs a doubly ordered correspondence analysis on a two-way contingency table

Reference(s):

Beh, E. J. (2002): S-PLUS Code for Ordinal Correspondence Analysis in Computational Statistics

Usage:	`DOcorr = DOcorr(N {,K,rowscores,columnscores})`
Input:
	`N`	n x m matrix, contingency table
	`K`	(optional) scalar, number of dimensions for visualisation; default K = min(n-1,m-1)
	`rowscores`	(optional) n x 1 vector, row scores; default rowscores = 1:n
	`columnscores`	(optional) m x 1 vector, column scores; default columnscores = 1:m
Output:
	`DOcorr`	list consisting of fs, gs, tinertia, comptext
	`DOcorr.fs`	n x 3 matrix, row profile coordinates for plotting
	`DOcorr.gs`	m x 3 matrix, column profile coordinates for plotting
	`DOcorr.tinertia`	scalar, total inertia
	`DOcorr.comptext`	text output: location, dispertion, error components of Chi-Square statistics

Note:

Elements of N have to be nonnegative and integer, K >= min(rows(N)-1,cols(N)-1), rows(rowscores)==rows(N), and rows(columnscores)==cols(N); otherwise the quantlet will be halted with an error message.

Example:

library("stats") x=(64~57~57~72~36~21)|(94~94~105~141~97~71)|(58~54~65~77~54~54)|(46~40~60~94~78~71) doc=DOcorr(x) doc lab1=" A"|" B"|" C"|" D"|" E"|" F" lab2=" Well"|" Mild"|" Moderate"|" Impaired" plotDOcorr(doc.fs,doc.gs,1,2,lab2,lab1)

Result:

Text and grafical output.

graphical output: blue squares represent row elements,
red triangles represent column elements;

text output:

Contents of doc.fs
[1,] -0.25317 -0.052485 -0.0058781
[2,] -0.023375 -0.028967 -0.0032825
[3,]  0.0058548  0.043994  0.050026
[4,]  0.23053  0.045309 -0.036835

Contents of doc.gs
[1,] -0.16635  0.025109 -0.074569
[2,] -0.17973 -0.021959 -0.048196
[3,] -0.053496 -0.016075 -0.031128
[4,]  0.00076384  0.026537  0.035587
[5,]  0.14837  0.00098791  0.085731
[6,]  0.29199 -0.032429  0.017948

Contents of doc.tinertia
[1,]  0.027702

Contents of doc.comptext
[ 1,] "-------------------------- DOcorr -------------------------"
[ 2,] "--                                                       --"
[ 3,] "                                 Component Value    P value"
[ 4,] "   - Row Components -                   0.0000       0.0000"
[ 5,] "             Location                  40.6907       0.0000"
[ 6,] "           Dispersion                   2.8500       0.4153"
[ 7,] "                Error                   2.4446       0.9823"
[ 8,] "  - Col. Components -                   0.0000       0.0000"
[ 9,] "             Location                  40.3209       0.0000"
[10,] "           Dispersion                   0.8564       0.9733"
[11,] "                Error                   4.8080       0.4397"
[12,] " - Chi-sq.Statistic -                  45.9853       0.0001"

Author: M.Benko 20030402 license MD*Tech