RF_Pred: Predict binary variables based on a taxa read count table by...

In wdl2459/ConQuR: Batch Effects Removal for Microbiome Data in Large-Scale Epidemiology Studies via Conditional Quantile Regression

Predict binary variables based on a taxa read count table by random forest

Description

Predict binary variables based on a taxa read count table by random forest

Usage

RF_Pred(TAX, factor, fold = 5, seed = 2020)

Arguments

TAX	The taxa read count table, samples (row) by taxa (col).
factor	The binary variable to predict, e.g., the key variable, case/control, must be a factor.
fold	The number of folds; default is 5.
seed	The seed to generate fold indices for samples; default is 2020.

Value

A list

• pred - A table summarizing the predicted probabilities and true labels for all samples.

• auc_across_fold - AUC of the ROC curves across folds.

• auc_on_all - AUC of the ROC curve on all samples.

wdl2459/ConQuR documentation built on Aug. 28, 2022, 6:08 a.m.