print {mixOmics} | R Documentation |
Produce print
methods for class "rcc"
,
"pls"
, "spls"
, "pca"
, "rgcca"
, "sgcca"
and "summary"
.
## S3 method for class 'rcc' print(x, ...) ## S3 method for class 'mixo_pls' print(x, ...) ## S3 method for class 'mixo_spls' print(x, ...) ## S3 method for class 'pca' print(x, ...) ## S3 method for class 'spca' print(x, ...) ## S3 method for class 'rgcca' print(x, ...) ## S3 method for class 'sgcca' print(x, ...) ## S3 method for class 'summary' 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 and Kim-Anh Lê Cao.
## 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)