run.RF: Wraper for running random forest classifier

In Japrin/sscClust: simpler single cell RNAseq data clustering

Wraper for running random forest classifier

Description

Wraper for running random forest classifier

Usage

run.RF(
  xdata,
  xlabel,
  ydata,
  do.norm = F,
  ntree = 500,
  ntreeIterat = 200,
  selectVar = T,
  ncores = NULL,
  use.ranger = T,
  xdata.test = NULL,
  xlabel.test = NULL
)

Arguments

xdata	data frame or matrix; data used for training, with sample id in rows and variables in columns
xlabel	factor; classification label of the samples, with length equal to the number of rows in xdata
ydata	data frame or matrix; data to be predicted the label, same format as xdata
do.norm	logical; whether perform Z score normalization on data
ntree	integer; parameter of varSelRF::varSelRF
ntreeIterat	integer; parameter of varSelRF::varSelRF
selectVar	logical; wheter select variables (default: TRUE)
ncores	intersect; numer of cores to use (default: NULL)
use.ranger	logical; wheter use ranger (default: TRUE)
xdata.test	data frame or matrix; data used for test, with sample id in rows and variables in columns
xlabel.test	factor; classification label of the test samples, with length equal to the number of rows in xdata.test

Value

List with the following elements:

ylabel	ppredicted labels of the samples in ydata
rfsel	trained model; output of varSelRF()

Japrin/sscClust documentation built on Dec. 15, 2022, 1:04 p.m.