MVA.cor: Correlations of multivariate analyses
In RVAideMemoire: Testing and Plotting Procedures for Biostatistics
MVA.cor R Documentation
Correlations of multivariate analyses
Description
Returns correlations of a multivariate analysis.
Usage
MVA.cor(x, xax = 1, yax = 2, set = c(12, 1, 2), space = 1, ...)
Arguments
x
a multivariate analysis (see Details).
xax
axis or axes for which to extract correlations.
yax
axis for which to extract correlations (ignored if length(xax) > 1).
set
variables to be displayed, when several sets are available (see Details). 12 (default) for both sets, 1 for X or constraints, 2 for Y or constrained variables.
space
variables to be displayed, when several spaces are available (see Details). space is the number of the space to be plotted.
...
not used.
Details
Many multivariate analyses are supported, from various packages:
- PCA: dudi.pca, rda.
- 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. Set 1 is X, set 2 is Y. If set=12 (default), fac is not available and pch,cex, col, lwd can be defined differently for each set. X space only.
- PLSR: mvr, pls, plsR (plsRglm package). Set 1 is X, set 2 is Y. If set=12 (default), fac is not available and pch,cex, col, lwd can be defined differently for each set. X space only.
- sPLSR: pls. Set 1 is X, set 2 is Y. If set=12 (default), fac is not available and pch,cex, col, lwd can be defined differently for each set. X space only.
- PLS-GLR: plsRglm (plsRglm package). Set 1 is X, set 2 is Y. If set=12 (default), fac is not available and pch,cex, col, lwd can be defined differently for each set. Correlations are computed with Y on the link scale.
- PCR: mvr. Set 1 is X, set 2 is Y. If set=12 (default), fac is not available and pch,cex, col, lwd can be defined differently for each set.
- CDA: discrimin, discrimin.coa.
- NSCOA: dudi.nsc. For NSCOA there is no real correlation, but the classical representation of columns is arrows. This is why MVA.corplot was made able to deal with this analysis.
- CCA: cca, pcaiv. Constraints (only quantitative constraints are extracted) in constrained space only.
- Mix analysis: dudi.mix, dudi.hillsmith. Only quantitative variables are displayed.
- 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. Set 1 is constraints (only quantitative constraints are extracted), set 2 is dependent variables (only set 2 is available for pcaivortho). If set=12 (default), fac is not available and pch,cex, col, lwd can be defined differently for each set.
- CCorA: CCorA, rcc. Space 1 is X, space 2 is Y. With rcc a third space is available, in which coordinates are means of X and Y coordinates. In this third space, set 1 is X, set 2 is Y. If set=12 (default), fac is not available and pch,cex, col, lwd can be defined differently for each set.
- rCCorA: rcc. Space 1 is X, space 2 is Y, space 3 is a "common" space in which coordinates are means of X and Y coordinates. In space 3, set 1 is X and set 2 is Y. If set=12 (default), fac is not available and pch,cex, col, lwd can be defined differently for each set.
- CIA: coinertia. Space 1 is X, space 2 is Y, space 3 is a "common" space where X and Y scores are normed. In space 3, set 1 is X and set 2 is Y. If set=12 in space 3 (default), fac is not available and pch,cex, col, lws can be defined differently for each set.
- GPA: GPA. Only the consensus ordination can be displayed.
- 2B-PLS: pls. Space 1 is X, space 2 is Y, space 3 is a "common" space in which coordinates are means of X and Y coordinates. In space 3, set 1 is X and set 2 is Y. If set=12 (default), fac is not available and pch,cex, col, lwd can be defined differently for each set.
- 2B-sPLS: pls. Space 1 is X, space 2 is Y, space 3 is a "common" space in which coordinates are means of X and Y coordinates. In space 3, set 1 is X and set 2 is Y. If set=12 (default), fac is not available and pch,cex, col, lwd can be defined differently for each set.
- 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).
Author(s)
Maxime HERVE <maxime.herve@univ-rennes1.fr>
RVAideMemoire documentation built on Aug. 8, 2025, 6:34 p.m.
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| MVA.cor | R Documentation |
Correlations of multivariate analyses
Description
Returns correlations of a multivariate analysis.
Usage
MVA.cor(x, xax = 1, yax = 2, set = c(12, 1, 2), space = 1, ...)
Arguments
x |
a multivariate analysis (see Details). |
xax |
axis or axes for which to extract correlations. |
yax |
axis for which to extract correlations (ignored if |
set |
variables to be displayed, when several sets are available (see Details). |
space |
variables to be displayed, when several spaces are available (see Details). |
... |
not used. |
Details
Many multivariate analyses are supported, from various packages:
- PCA: dudi.pca, rda.
- 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. Set 1 is X, set 2 is Y. If set=12 (default), fac is not available and pch,cex, col, lwd can be defined differently for each set. X space only.
- PLSR: mvr, pls, plsR (plsRglm package). Set 1 is X, set 2 is Y. If set=12 (default), fac is not available and pch,cex, col, lwd can be defined differently for each set. X space only.
- sPLSR: pls. Set 1 is X, set 2 is Y. If set=12 (default), fac is not available and pch,cex, col, lwd can be defined differently for each set. X space only.
- PLS-GLR: plsRglm (plsRglm package). Set 1 is X, set 2 is Y. If set=12 (default), fac is not available and pch,cex, col, lwd can be defined differently for each set. Correlations are computed with Y on the link scale.
- PCR: mvr. Set 1 is X, set 2 is Y. If set=12 (default), fac is not available and pch,cex, col, lwd can be defined differently for each set.
- CDA: discrimin, discrimin.coa.
- NSCOA: dudi.nsc. For NSCOA there is no real correlation, but the classical representation of columns is arrows. This is why MVA.corplot was made able to deal with this analysis.
- CCA: cca, pcaiv. Constraints (only quantitative constraints are extracted) in constrained space only.
- Mix analysis: dudi.mix, dudi.hillsmith. Only quantitative variables are displayed.
- 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. Set 1 is constraints (only quantitative constraints are extracted), set 2 is dependent variables (only set 2 is available for pcaivortho). If set=12 (default), fac is not available and pch,cex, col, lwd can be defined differently for each set.
- CCorA: CCorA, rcc. Space 1 is X, space 2 is Y. With rcc a third space is available, in which coordinates are means of X and Y coordinates. In this third space, set 1 is X, set 2 is Y. If set=12 (default), fac is not available and pch,cex, col, lwd can be defined differently for each set.
- rCCorA: rcc. Space 1 is X, space 2 is Y, space 3 is a "common" space in which coordinates are means of X and Y coordinates. In space 3, set 1 is X and set 2 is Y. If set=12 (default), fac is not available and pch,cex, col, lwd can be defined differently for each set.
- CIA: coinertia. Space 1 is X, space 2 is Y, space 3 is a "common" space where X and Y scores are normed. In space 3, set 1 is X and set 2 is Y. If set=12 in space 3 (default), fac is not available and pch,cex, col, lws can be defined differently for each set.
- GPA: GPA. Only the consensus ordination can be displayed.
- 2B-PLS: pls. Space 1 is X, space 2 is Y, space 3 is a "common" space in which coordinates are means of X and Y coordinates. In space 3, set 1 is X and set 2 is Y. If set=12 (default), fac is not available and pch,cex, col, lwd can be defined differently for each set.
- 2B-sPLS: pls. Space 1 is X, space 2 is Y, space 3 is a "common" space in which coordinates are means of X and Y coordinates. In space 3, set 1 is X and set 2 is Y. If set=12 (default), fac is not available and pch,cex, col, lwd can be defined differently for each set.
- 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).
Author(s)
Maxime HERVE <maxime.herve@univ-rennes1.fr>
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