return_features: Return features describing an eigenvector

In Swarchal/phenoDist: Distance Measurements in Phenotypic Screening

Description

For a PCA, if given a vector, this function will return the features most heavily weighted for that eigenvector. N.B Experimental, not tested.

Usage

return_features(pca_data, pca_vector, n = 2)

Arguments

pca_data	a prcomp object
pca_vector	A two element vector of a PCA i.e c(PC1, PC2)
n	How many features returned to describe each element of 'pca_vector'

Value

vector

Examples

data(iris)
pca_iris <- prcomp(iris[,1:4])


# features for a vector pointing straight up, essentially just
# those for PC2 in a positive direction.
return_features(pca_iris, c(0,1))

Swarchal/phenoDist documentation built on May 9, 2019, 3:25 p.m.