PCA.Calculate: Adapted version of R's base Principal Component Analysis...
In MetStaT: Statistical metabolomics tools
Description
Usage
Arguments
Value
Author(s)
Description
In addition to the svd function in R's base package, this principal component (pc) analysis function also adds the variance explained per pc, and the score matrix (t).
Usage
1
Arguments
data
the data matrix upon which the pca is to performed.
Value
A list of results is returned, containing:
d
a vector containing the singular values of x, of length min(n, p).
v
a matrix whose columns contain the right singular vectors of x, present if nv > 0. Dimension c(p, nv).
var.explained
percentage of variance explained per pc.
t
scores.
Author(s)
Tim Dorscheidt
MetStaT documentation built on May 2, 2019, 1:45 p.m.
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Description Usage Arguments Value Author(s)
Description
In addition to the svd function in R's base package, this principal component (pc) analysis function also adds the variance explained per pc, and the score matrix (t).
Usage
1 |
Arguments
data |
the data matrix upon which the pca is to performed. |
Value
A list of results is returned, containing:
d |
a vector containing the singular values of x, of length min(n, p). |
v |
a matrix whose columns contain the right singular vectors of x, present if nv > 0. Dimension c(p, nv). |
var.explained |
percentage of variance explained per pc. |
t |
scores. |
Author(s)
Tim Dorscheidt
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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