Description Usage Arguments Details Value Author(s) See Also Examples
View source: R/functions_aux.R
Wrapper function for creating PCA scores to be used in a regression analysis.
1 2 3 4 5 6 7 8 |
data |
Matrix or data frame of data |
ncomps |
Number of PCA components to return. |
covarnames |
Names of variables or column numbers in |
center |
Logical indicator of whether |
scale |
Logical indicator of whether |
matrixonly |
Logical indicator of whether only the model matrix should
be returned, or the full output from |
This is a wrapper around prcomp
, which does
the necessary computation.
If matrixonly=TRUE
, a matrix of PCA scores. Otherwise a list containing two elements: X
, a matrix of scores, and pca
, the output from prcomp
.
Joshua Keller
createTPRSmodelmatrix
, predkmeansCVest
1 2 3 4 5 | n <- 100
d <- 15
X <- matrix(rnorm(n*d), ncol=d, nrow=n)
X <- as.data.frame(X)
mx <- createPCAmodelmatrix(data=X, ncomps=2)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.