print {mixOmics} | R Documentation |
Produce print
methods for class "rcc"
, "pls"
,
"spls"
, "pca"
, "rgcca"
, "sgcca"
and
"summary"
.
## S3 method for class 'mixo_pls' print(x, ...) ## S3 method for class 'mint.pls' print(x, ...) ## S3 method for class 'mixo_plsda' print(x, ...) ## S3 method for class 'mint.plsda' print(x, ...) ## S3 method for class 'mixo_spls' print(x, ...) ## S3 method for class 'mint.spls' print(x, ...) ## S3 method for class 'mixo_splsda' print(x, ...) ## S3 method for class 'mint.splsda' print(x, ...) ## S3 method for class 'rcc' print(x, ...) ## S3 method for class 'pca' print(x, ...) ## S3 method for class 'ipca' print(x, ...) ## S3 method for class 'sipca' print(x, ...) ## S3 method for class 'rgcca' print(x, ...) ## S3 method for class 'sgcca' print(x, ...) ## S3 method for class 'sgccda' print(x, ...) ## S3 method for class 'summary' print(x, ...) ## S3 method for class 'perf.pls.mthd' print(x, ...) ## S3 method for class 'perf.plsda.mthd' print(x, ...) ## S3 method for class 'perf.splsda.mthd' print(x, ...) ## S3 method for class 'perf.mint.splsda.mthd' print(x, ...) ## S3 method for class 'perf.sgccda.mthd' print(x, ...) ## S3 method for class 'tune.pca' print(x, ...) ## S3 method for class 'tune.spca' print(x, ...) ## S3 method for class 'tune.rcc' print(x, ...) ## S3 method for class 'tune.splsda' print(x, ...) ## S3 method for class 'tune.pls' print(x, ...) ## S3 method for class 'tune.spls1' print(x, ...) ## S3 method for class 'tune.mint.splsda' print(x, ...) ## S3 method for class 'tune.block.splsda' print(x, ...) ## S3 method for class 'predict' print(x, ...)
x |
object of class inherited from |
... |
not used currently. |
print
method for "rcc"
, "pls"
, "spls"
"pca"
, "rgcca"
, "sgcca"
class, returns a description of
the x
object including: the function used, the regularization
parameters (if x
of class "rcc"
), the (s)PLS algorithm used
(if x
of class "pls"
or "spls"
), the samples size, the
number of variables selected on each of the sPLS components (if x
of
class "spls"
) and the available components of the object.
print
method for "summary"
class, gives the (s)PLS algorithm
used (if x
of class "pls"
or "spls"
), the number of
variates considered, the canonical correlations (if x
of class
"rcc"
), the number of variables selected on each of the sPLS
components (if x
of class "spls"
) and the available components
for Communalities Analysis, Redundancy Analysis and Variable Importance in
the Projection (VIP).
none
Sébastien Déjean, Ignacio González, Kim-Anh Lê Cao, Fangzhou Yao, Jeff Coquery, Al J Abadi.
## print for objects of class 'rcc' data(nutrimouse) X <- nutrimouse$lipid Y <- nutrimouse$gene nutri.res <- rcc(X, Y, ncomp = 3, lambda1 = 0.064, lambda2 = 0.008) print(nutri.res) ## Not run: ## print for objects of class 'summary' more <- summary(nutri.res, cutoff = 0.65) print(more) ## print for objects of class 'pls' data(linnerud) X <- linnerud$exercise Y <- linnerud$physiological linn.pls <- pls(X, Y) print(linn.pls) ## print for objects of class 'spls' data(liver.toxicity) X <- liver.toxicity$gene Y <- liver.toxicity$clinic toxicity.spls <- spls(X, Y, ncomp = 3, keepX = c(50, 50, 50), keepY = c(10, 10, 10)) print(toxicity.spls) ## End(Not run)