bestGrouping: description of function randomForest

bestGroupingR Documentation

description of function randomForest

Description

The function is using a randomForest classifier with 2000 trees to classify the given data using the given grooping

All groups that fail to be prediceted using the random forest are deemed ungrouped.

All groups where less than 50 percent of the total samples geting classified as being from that group fail.

Usage

bestGrouping(x, group, bestColname = "QualifiedGrouping", cutoff = 0.5)

Arguments

x

the single cells ngs object

group

a vector of sample columns that should be checked (the most complex is used only)

bestColname

the column name to store the best grouping in

cutoff

the cutoff percentage where all groups showing less than this percentacge of remapped samples are dropped

Value

a distRF object to be analyzed by pamNew


stela2502/Rscexv documentation built on July 6, 2022, 9:02 p.m.