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.
rcc
, pls
, spls
,
vip
.
## 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)
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