## S3 method for class 'PTAk':
plot(x, labels = TRUE, mod = 1, nb1 = 1, nb2 = NULL,
coefi = list(NULL, NULL), xylab = TRUE, ppch = (1:length(solution)),
lengthlabels = 2, scree = FALSE, ordered = TRUE,
nbvs = 40, RiskJack = NULL, method = "",ZoomInOut=NULL, Zlabels=NULL, ...)
RiskJackplot(x, nbvs = 1:20, mod = NULL, max = NULL, rescaled=TRUE, ...)
PTAk
, representing a generalised singular value decompositionTRUE
plots the labels given in solution[[mod]]["n"]
summary.PTAk
NULL
the horizontal
axe will be used as Index
(see plot.default
)nb1
and nb2
and are vectors of dimentions the tensor orderlength(mod)
used for pch=
summary.PTAk
NULL
is a integer, scree is TRUE
and ordered is TRUE
, plots
on top of the scree plot a Risk plot with maximum dimension:
min(RiskJack+length(nbvs),length(solution[[k]][["d"]]))
. It is
possible t""
, a value "FCA"
is to be used only
if solution
is after an FCA with SVDgen
x[[mod]]$n
, it is a list with the same length as all modes. For example on 3 modes changing the labels of the second mode only will have to set Zlabels=list(NULL,rep("a",length(x[[2]]$n) ), NULL )
xlim, ylim,ylab,pch,xaxt
for component plot,
and xlab, ylab
for screeplot)plot.default
at
some point some added features can be used in the ... part, especially
xlab=
may be useful when nb2=NULL
. Plots are superposed as they
correspond to the same Principal Tensor and so this gives insight to
interpretation of it, but careful is recommended as only overall
interpretation, once the Principal Tensor has been rebuilt mentally
(i.e. product of signs ...) to work out oppositions or associations. The
risk plot on top of a screeplot is an approximation of the Jacknife estimate of
the MSE in the choice of number of dimensions (see Besse et al.(1997)).Leibovici D (2000) Multiway Multidimensional Analysis for Pharmaco-EEG
Studies.(submitted)
PTAk
, PTA3
,
FCAk
,SVDgen
# see the demo function source(paste(R.home(),"/ library/PTAk/demo/PTA3.R",sep=""));
# or source(paste(R.home(),"/ library/PTAk/demo/PTAk.R",sep=""));
# demo.PTA3()
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