RFanalysis: Function to perform Random Forest analysis

In LDSamson/associationstudies: Custom functions useful to perform association studies and prediction analyses

Function to perform Random Forest analysis

Description

Note: dataset is expected to be in "wide" format for this function. Note2: This function is a work in progress and still needs some more testing. Use with caution.

Usage

RFanalysis(
  data,
  subset = NULL,
  predictors,
  confounders,
  dependent.var,
  ntree = 10000,
  select.best.mtry = TRUE,
  ...
)

Arguments

data	dataframe to use (original: ISA.cellular)
subset	whether or not to use subset of data
predictors	character value, predictors (original: cell.subsets.to.analyse)
confounders	character value, confounding variables (original: confounding.vars)
dependent.var	character value (original: dependent.variable)
ntree	numerical, number of trees to use in random forest
select.best.mtry	logical
...	other parameters parsed to the randomForest function

Value

a randomForest object

LDSamson/associationstudies documentation built on April 14, 2025, 11:52 a.m.