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])