Supplementary Columns in Correspondence Analysis

Usage

supplc(a, ca.res)

Arguments

a data matrix to be projected. Must have same number of rows as matrix which was initially input to the correspondence analysis.
ca.res the output of a correspondence analysis. The following components of this object are used: evals, rproj and cproj.

Description

Using the results of a correspondence analysis, project new columns into the factor space.

Value

a matrix, projections of the columns of a on the correspondence analysis factors.

References

See function ca.

See Also

Correspondence analysis: ca. Supplementary rows and columns: supplr, supplc. Initial data coding: flou, logique. Other functions producing objects of class "reddim": pca, sammon. Other related functions: prcomp, cancor, cmdscale. Plotting tool: plaxes.

Examples

cares <- ca(logarray)
newproj <- supplc(newcols, cares)
# plot of first and second factors, and of supplementary columns:
plot(cares$cproj[,1], cares$cproj[,2],type="n")
text(cares$cproj[,1], cares$cproj[,2])
points(newproj[,1], newproj[,2])
# Place additional axes through x=0 and y=0:
plaxes(cares$cproj[,1], cares$cproj[,2])


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