Function to rename predictors used in machine learning

Description

xMLrename is supposed to rename predictors used in machine learning. It returns an object of class "sTarget".

Usage

xMLrename(sTarget, old_names, new_names)

Arguments

Value

an object of class "sTarget"

Note

none

See Also

xMLrandomforest

Examples

## Not run: 
# Load the library
library(Pi)

## End(Not run)
RData.location <- "http://galahad.well.ox.ac.uk/bigdata_dev"
## Not run: 
old_names <- colnames(sTarget$predictor)[-c(1,2)]
new_names <- c('Annotation_disease genes (dGenes)',
'Annotation_phenotype genes (pGenes)', 'Annotation_function genes
(fGenes)', 'nearbyGenes_nearby genes (nGenes)', 'eQTL_eQTL: resting
state (CD14+)', 'eQTL_eQTL: activating state (CD14+ by LPS2h)',
'eQTL_eQTL: activating state (CD14+ by LPS24h)', 'eQTL_eQTL: activating
state (CD14+ by IFN24h)', 'eQTL_eQTL: B cells', 'eQTL_eQTL: monocytes',
'eQTL_eQTL: CD4+ T cells', 'eQTL_eQTL: CD8+ T cells', 'eQTL_eQTL:
neutrophils', 'eQTL_eQTL: NK cells','eQTL_eQTL: peripheral blood',
'HiC_Hi-C: monocytes', 'HiC_Hi-C: macrophages (M0)', 'HiC_Hi-C:
macrophages (M1)', 'HiC_Hi-C: macrophages (M2)', 'HiC_Hi-C:
neutrophils', 'HiC_Hi-C: CD4+ T cells (naive)', 'HiC_Hi-C: CD4+ T cells
(total)', 'HiC_Hi-C: CD8+ T cells (naive)', 'HiC_Hi-C: CD8+ T cells
(total)', 'HiC_Hi-C: B cells (naive)', 'HiC_Hi-C: B cells (total)')
sTarget_rename <- xMLrename(sTarget, old_names, new_names)

## End(Not run)