CorrAn: Correspondence Analysis
In SimultAnR: Correspondence and Simultaneous Analysis

Description Usage Arguments Details Value Author(s) References See Also Examples

View source: R/SimultAnR.R

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

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

`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)

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

`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

Amaya Zarraga, Beatriz Goitisolo

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.

plot.CorrAn, summary.CorrAn

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)