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kplot.mfa

Multiple Graphs for a Multiple Factorial Analysis


Description

performs high level plots of a Multiple Factorial Analysis, using an object of class mfa.

Usage

## S3 method for class 'mfa'
kplot(object, xax = 1, yax = 2, mfrow = NULL, 
    which.tab = 1:length(object$blo), row.names = FALSE, col.names = TRUE, 
    traject = FALSE, permute.row.col = FALSE, 
    clab = 1, csub = 2, possub = "bottomright", ...)

Arguments

object

an object of class mfa

xax, yax

the numbers of the x-axis and the y-axis

mfrow

a vector of the form 'c(nr,nc'), otherwise computed by a special own function n2mfrow

which.tab

vector of the numbers of tables used for the analysis

row.names

a logical value indicating whether the row labels should be inserted

col.names

a logical value indicating whether the column labels should be inserted

traject

a logical value indicating whether the trajectories of the rows should be drawn in a natural order

permute.row.col

if TRUE, the rows are represented by vectors and columns by points, otherwise it is the opposite

clab

a character size for the labels

csub

a character size for the sub-titles, used with par("cex")*csub

possub

a string of characters indicating the sub-title position ("topleft", "topright", "bottomleft", "bottomright")

...

further arguments passed to or from other methods

Author(s)

Daniel Chessel

Examples

data(friday87)
w1 <- data.frame(scale(friday87$fau, scal = FALSE))
w2 <- ktab.data.frame(w1, friday87$fau.blo, tabnames = friday87$tab.names)
mfa1 <- mfa(w2, scann = FALSE)
kplot(mfa1)

ade4

Analysis of Ecological Data: Exploratory and Euclidean Methods in Environmental Sciences

v1.7-16
GPL (>= 2)
Authors
Stéphane Dray <stephane.dray@univ-lyon1.fr>, Anne-Béatrice Dufour <anne-beatrice.dufour@univ-lyon1.fr>, and Jean Thioulouse <jean.thioulouse@univ-lyon1.fr>, with contributions from Thibaut Jombart, Sandrine Pavoine, Jean R. Lobry, Sébastien Ollier, Daniel Borcard, Pierre Legendre, Stéphanie Bougeard and Aurélie Siberchicot. Based on earlier work by Daniel Chessel.
Initial release

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