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Character vector labelling interpolated X.new
points. Defaults to np1 , np2 ,
X.new.labels
...
.
Numeric value controlling size of the label of
plotting character indicating interpolated X.new
points. Default is 0.6.
X.new.labels.cex
Specifies zooming factor. Defaults to NULL for no
zooming; specify a value less than unity for
zooming in and a value larger than unity for
zooming out
zoomval
Value
The output of cabipl is a graph of the desired biplot together with an R list with the
following components:
Dataframe containing predictions for all samples
specified in predictions.sample .
out
Input two-way contingency table matrix X .
X.mat
The p × q independence matrix of Section 7.2.
E.mat
Diagonal matrix formed from the row sums of input X .
R.mat
Diagonal matrix formed from the column sums of input
X .
C.mat
Matrix of deviations (7.1), X.mat - E.mat .
dev.mat
dev.mat multiplied from the left by R.mat^(-1/2) and
from the right by C.mat^(-1/2) , i.e. matrix (7.2).
weighted.dev.mat
The matrix dev.mat multiplied from the left by
R.mat^(-1) and from the right by C.mat^(-1) as
defined in Section 7.2.3.
Contingency.mat.prop
The matrix formed by adding unity to
Contingency.mat.prop times n .
Contingency.mat
Singular value decompoisition of weighted.dev.mat .
svd.weighted.dev.mat
Va l u e o f
λ when performing λ -scaling.
lambda
Overall quality of the biplot display.
Quality
NULL for one- and two-dimensional biplots. In the case
of a three-dimensional biplot with argument
predictions.3D = TRUE the dataframe containing
the three-dimensional predictions for all the rows of
the weighted.dev.mat .
predictions
If X.new is non-NULL the weighted.dev.mat of
X.new , else NULL.
weighted.dev.mat.new
The predictions specified by the argument
predictions.X.new in the form of a dataframe.
predictions.new
A matrix containing the coordinates for plotting column
points.
column.plot.coords
A list with j th element a vector containing the
calibrations of the j th biplot axis.
calibrations plot
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