| MVA.loadplot | R Documentation |
Displays a loading plot of a multivariate analysis.
MVA.loadplot(x, xax = 1, yax = 2, fac = NULL, set = c(12, 1, 2), space = 1, map = TRUE,
xlab = NULL, ylab = NULL, main = NULL, points = TRUE, ident = TRUE, links = TRUE,
line = TRUE, labels = NULL, main.pos = c("bottomleft", "topleft","bottomright",
"topright"), main.cex = 1.3, legend = FALSE, legend.pos = c("topleft", "topright",
"bottomleft", "bottomright"), legend.title = NULL, legend.lab = NULL, pch = 16,
cex = 1, col = 1, lwd = 1, lty = 1, drawextaxes = TRUE, drawintaxes = TRUE, xlim = NULL,
ylim = NULL)
x |
a multivariate analysis (see Details). |
xax |
the horizontal axis. |
yax |
the vertical axis. This can be set to |
fac |
only used for one-dimensional graphs. An optional factor defining groups of variables. |
set |
variables to be displayed, when several sets are available (see Details). |
space |
variables to be displayed, when several spaces are available (see Details). |
map |
logical indicating if a two-dimensional ( |
xlab |
only used for two-dimensional graphs. Legend of the horizontal axis. If |
ylab |
legend of the vertical axis. If |
main |
optional title of the graph. |
points |
only used for two-dimensional graphs. If |
ident |
logical indicating if variable names should be displayed. Only used when |
links |
only used for two-dimensional graphs when |
line |
only used for one-dimensional graphs when |
labels |
only used if |
main.pos |
only used for one-dimensional graphs. Position of the title, if |
main.cex |
size of the title, if |
legend |
logical indicating if a legend should be added to the graph. |
legend.pos |
position of the legend, if |
legend.title |
optional title of the legend, if |
legend.lab |
legend labels, if |
pch |
only used for two-dimensional graphs. Symbol(s) used for points, when points are displayed (see |
cex |
size of the points and/or of the variable names. For two-dimensional graphs: if |
col |
color(s) used for points, variable names and/or lines/sticks. For one-dimensional graphs, can be a vector of length one or a vector giving one value per line. For two-dimensional graphs: if |
lwd |
width of lines. For one-dimensional graphs, can be a vector of length one or a vector giving one value per line. For two-dimensional graphs: if |
lty |
only used for one-dimensional graphs. Can be a vector of length one or a vector giving one value per line. |
drawextaxes |
logical indicating if external axes should be drawn. |
drawintaxes |
only used for two-dimensional graphs. Logical indicating if internal axes should be drawn. |
xlim |
only used in two-dimensional graphs. Limits of the horizontal axis. If |
ylim |
limits of the vertical axis. If |
This function should not be use directly. Prefer the general MVA.plot, to which all arguments can be passed.
Many multivariate analyses are supported, from various packages:
- PCA: prcomp, princomp, dudi.pca, rda, pca, pca.
- sPCA: spca.
- IPCA: ipca.
- sIPCA: sipca.
- LDA: lda, discrimin.
- PLS-DA (PLS2 on a dummy-coded factor): plsda. X space only.
- sPLS-DA (sPLS2 on a dummy-coded factor): splsda. X space only.
- CPPLS: mvr. X space only.
- PLSR: mvr, pls, plsR (plsRglm package). X space only.
- sPLSR: pls. X space only.
- PLS-GLR: plsRglm (plsRglm package).
- PCR: mvr.
- CDA: discrimin, discrimin.coa.
- NSCOA: dudi.nsc.
- MCA: dudi.acm.
- Mix analysis: dudi.mix, dudi.hillsmith.
- PCIA: procuste. Set 1 is X, set 2 is Y.
- RDA (or PCAIV): pcaiv, pcaivortho, rda. With rda, space 1 is constrained space, space 2 is unconstrained space. Only constrained space is available with pcaiv, the opposite for pcaivortho.
- CCorA: rcc. Space 1 is X, space 2 is Y.
- rCCorA: rcc. Space 1 is X, space 2 is Y.
- CIA: coinertia. Space 1 is X, space 2 is Y.
- 2B-PLS: pls. Space 1 is X, space 2 is Y.
- 2B-sPLS: pls. Space 1 is X, space 2 is Y.
- rGCCA: wrapper.rgcca. Space can be 1 to n, the number of blocks (i.e. datasets).
- sGCCA: wrapper.sgcca. Space can be 1 to n, the number of blocks (i.e. datasets).
- DIABLO: block.plsda, block.splsda. Space can be 1 to n, the number of blocks (i.e. datasets).
Maxime HERVE <maxime.herve@univ-rennes1.fr>
require(ade4)
data(olympic)
PCA <- dudi.pca(olympic$tab,scannf=FALSE)
MVA.plot(PCA,"load")
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