plot.PTAk: Plot a PTAk object

Description Usage Arguments Details Note Author(s) References See Also Examples

Description

Screeplot of singular values or superposed plot of modes for one or two components (1 dimensional scatterplot with spread labels or scatterplot on two dimensions).

Usage

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## 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, Zcol=NULL,
    poslab=c(2,1,3,3), ...)
RiskJackplot(x, nbvs = 1:20, mod = NULL, max = NULL, rescaled=TRUE, ...)
                              

Arguments

x

an object inheriting from class PTAk, representing a generalised singular value decomposition

labels

logical if TRUE plots the labels given in solution[[mod]]["n"]

mod

vectors of the modes numbers to be plotted

nb1

number identifying the Principal Tensor to display on the vertical axe, can be checked using summary.PTAk

nb2

as nb1 to be displayed on the horizontal axe, if NULL the horizontal axe will be used as Index (see plot.default)

coefi

coefficients to multiply components for all modes (not just the one in mod) for rescaling or changing signs purposes; each element of the list correspond to nb1 and nb2 and are vectors of dimentions the tensor order

xylab

logical to display axes labels

ppch

a vector of length at least length(mod) used for pch=

lengthlabels

a number or a vector of numbers of characters in labels to be used for display

scree

logical to display a screeplot of squared singular values as percent of total variation

ordered

logical used when displaying the screeplot with sorted values (TRUE) or the order is given by output listing from summary.PTAk

nbvs

a maximum number of singular values to display on the screeplot or a vector of ranks

max

is the number of singular values to be considered as giving the perfect fit, NULL is the max possible in x

rescaled

boolean to rescale the y axis to 0-100

RiskJack

if not NULL is a integer, scree is TRUE and ordered is TRUE, plots on top of the scree plot a Risk plot with nbvs = 1:RiskJack. It is possible to use directly the function RiskJackplot: the default maximum dimension (argument max) is length(solution[[k]][["d"]]).

method

default is "", a value "FCA" is to be used only if solution is after an FCA with SVDgen

ZoomInOut

list used as [[1]] for xlim and [[2]] for ylim in xy-plots instead of max and min range

Zlabels

used as labels instead of 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 )

Zcol

list of vectors of colours for Zlabels

poslab

integer or vector for 'pos' parameter, position of labels

...

plot arguments can be passed (except xlim, ylim, ylab,pch,xaxt for component plot, and xlab, ylab for screeplot). For example to have normed plot one can use asp=1

Details

Plot components of one or two Principal Tensors, modes are superposed if more than one is asked, or gives a screeplot. As it is using 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)).

Note

This function is used all for FCAk, and CANDPARA, PCAn objjects notheless for this last object other interesting plots known as jointplots have not been implemented.

Author(s)

Didier G. Leibovici

References

Besse, P Cardot, H and Ferraty, F (1997) Simultaneous non-parametric regressions of unbalanced longitudinal data. Computational Statistics and Data Analysis, 24:255-270.

Leibovici D (2000) Multiway Multidimensional Analysis for Pharmaco-EEG Studies.(submitted) http://c3s2i.free.fr/cv/recentpub.html

See Also

PTAk, PTA3, FCAk,SVDgen

Examples

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#  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()
 

PTAk documentation built on May 2, 2019, 2:42 a.m.

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