hs_tsne: Run tSNE on a hyperspec object

In CMET-UGent/MicroRaman: Phenotyping of microbial Raman spectroscopy data

Description

Run tSNE on a hyperspec object

Usage

hs_tsne(hs.x, PCA = FALSE, ...)

Arguments

hs.x	hyperSpec object or alternatively distance matrix
PCA	Should PCA be used for initial dimension reduction? Defaults to FALSE.
...	Parameters to pass on to tsne().

Examples

## Short example

# Load hyperSpec object
data("hs_example")

# Convert to MassSpectrum object
hs.x.proc <- hs_preprocess(hs_example)

df.tsne <- hs_tsne(hs.x.proc)

CMET-UGent/MicroRaman documentation built on July 25, 2020, 6:20 p.m.