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])