SimultAnR (version 1.1)

CorrAn: Correspondence Analysis

Description

The CorrAn function computes the correspondence analysis of the selected data.

Usage

CorrAn(data, sr = NA, sc = NA, nd = 2, dp = 2, oar = 1, oac = 1, multiple = 0)

Arguments

data

Data set

sr

Indices of supplementary rows

sc

Indices of supplementary columns

nd

Number of dimensions in results

dp

Number of digits in results

oar

Output for active rows (1 = yes, 0 = no)

oac

Output for active columns (1 = yes, 0 = no)

multiple

Option for Multiple Simultaneous Analysis (1 = yes, 0 = no)

Value

totalin

Total inertia

eig

Eigenvalues

resin

Results of inertia

resi

Results of active rows

resj

Results of active columns

resisr

Results of supplementary rows

resjsc

Results of supplementary columns

X

Matrix X

totalk

Total of data table

I

Number of active rows

namei

Names of active rows

fi

Marginal of active rows

Fs

Projections of active rows

d2i

Chi-square distance of active rows to their average

J

Number of active columns

namej

Names of active columns

fj

Marginal of active columns

Gs

Projections of active columns

d2j

Chi-square distance of active columns to their average

Isr

Number of supplementary rows

nameisr

Names of supplementary rows

fisr

Marginal of supplementary rows

Fssr

Projections of supplementary rows

d2isr

Chi-square distance of supplementary rows to the average

Xsr

Matrix X for supplementary rows

Jsc

Number of supplementary columns

namejsc

Names of supplementary columns

fjsc

Marginal of supplementary columns

Gssc

Projections of supplementary columns

d2jsc

Chi-square distance of supplementary columns to the average

Details

The options sr and sc allow supplementary rows and columns to be specified.

References

Greenacre, M. (2007). Correspondence Analysis in Practice. 2nd edition. Chapman and Hall/CRC, London.

Lebart, L; Piron, M., Morineau, A. (2006). Statistique exploratoire multidimensionnelle: visualisations et inferences en fouille de donnees. 4th edition. Dunod, Paris.

See Also

plot.CorrAn, summary.CorrAn

Examples

data(shoplifting)
dataCA <- shoplifting[1:13, 1:9]

### CA without supplementary elements
CorrAn(data=dataCA)

### CA with supplementary rows and without output for columns
CorrAn(data=dataCA, sr=13, oac=0)