randomforest_R_predict: Class prediction using RandomForest method calling the R code

In galgo: Genetic Algorithms for Multivariate Statistical Models from Large-Scale Functional Genomics Data

Description

Prediction using random forest from randomForest package.

Usage

randomforest_R_predict(chr, parent, tr, te, result)

Arguments

chr	Chromosome. Must be integer, use as.integer().
parent	Bigbang object.
tr	Sample indexes for training vector. Must be integer, use as.integer().
te	Sample indexes for test vector. Must be integer, use as.integer().
result	0 indicates to return class prediction, non-zero returns the proportion of samples with same class prediction. Must be integer, use as.integer().

Value

Vector of classes (integer) or numeric value. Depends on result argument.

Author(s)

Victor Trevino. Francesco Falciani Group. University of Birmingham, U.K.

See Also

knn

galgo documentation built on May 2, 2019, 4:20 a.m.