kernel_pca

From Spectrum v0.2 by Christopher John

kernel_pca(datam, labels = FALSE, axistextsize = 18,
  legendtextsize = 18, dotsize = 3, kernel = TRUE)

datam: Dataframe or matrix: a data frame with samples as columns, rows as features, or a kernel matrix
labels: Factor: to label the plot with colours
axistextsize: Numerical value: axis text size
legendtextsize: Numerical value: legend text size
dotsize: Numerical value: dot size
kernel: Logical flag: whether the input is a kernel or not

A kernel PCA plot

# NOT RUN {
ex_kernel_pca <- kernel_pca(blobs[,1:50], kernel=FALSE)
# }

Documentation reproduced from package Spectrum, version 0.2, License: AGPL-3

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