summary.mpm | R Documentation |
mpm
.The function summary.mpm
computes and returns a list of summary
statistics of the spectral map analysis given in x
.
## S3 method for class 'mpm' summary(object, maxdim = 4, ...)
object |
an object of class |
maxdim |
maximum number of principal factors to be reported. Defaults
to |
... |
further arguments; currently none are used |
An object of class summary.mpm
with the following components:
call |
the call to |
Vxy |
sum of eigenvalues |
VPF |
a matrix with on the first line the eigenvalues and on the
second line the cumulative eigenvalues of each of the principal factors
( |
Rows |
a data frame with summary statistics for the row-items, as described below. |
Columns |
a data frame with with summary statistics for the
column-items, as described below. |
Posit |
binary
indication of whether the row or column was positioned ( |
Weight |
weight applied to the row or column in the
function |
PRF1-PRFmaxdim |
factor scores or loadings for
the first |
Resid |
residual score or loading not accounted for by the first
|
Norm |
length of the vector representing the row or column in factor space. |
Contrib |
contribution of row or column to the sum of eigenvalues. |
Accuracy |
accuracy of the
representation of the row or column by means of the first |
Luc Wouters
Wouters, L., Goehlmann, H., Bijnens, L., Kass, S.U., Molenberghs, G., Lewi, P.J. (2003). Graphical exploration of gene expression data: a comparative study of three multivariate methods. Biometrics 59, 1131-1140.
mpm
, plot.mpm
# Example 1 weighted spectral map analysis Golub data data(Golub) r.sma <- mpm(Golub[,1:39], row.weight = "mean", col.weight = "mean") # summary report summary(r.sma) # Example 2 using print function data(Famin81A) r.fam <- mpm(Famin81A, row.weight = "mean", col.weight = "mean") r.sum <- summary(r.fam) print(r.sum, what = "all")
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