MVA.load: Loadings of multivariate analyses
In RVAideMemoire: Testing and Plotting Procedures for Biostatistics
MVA.load R Documentation
Loadings of multivariate analyses
Description
Returns loadings of a multivariate analysis.
Usage
MVA.load(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 loadings.
yax
axis for which to extract loadings (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, 2 for Y.
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: 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).
Author(s)
Maxime HERVE <maxime.herve@univ-rennes1.fr>
RVAideMemoire documentation built on Nov. 6, 2023, 5:07 p.m.
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| MVA.load | R Documentation |
Loadings of multivariate analyses
Description
Returns loadings of a multivariate analysis.
Usage
MVA.load(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 loadings. |
yax |
axis for which to extract loadings (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: 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).
Author(s)
Maxime HERVE <maxime.herve@univ-rennes1.fr>
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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