prepLocation: Prepare tumor location feature for logit modeling.

In novasmedley/gbmSpm: Find predictive sequential patterns for clinical glioblastoma patients

Description

Locations with few observations are merged into 'other'. Categories include: frontal, temporal, parietal, and other.

Usage

prepLocation(data)

Arguments

data	dataframe, rows are clinical visits to be classified, columns are features including clinical visits ids, and at least the columns returned from getLocation

Value

data dataframe with replaced location columns

Examples

data("features_ratechange_sup0.4g60l2z2")  # features and labels for each clinical visit

# format
names <- colnames(feats)
feats <- data.frame(id=row.names(feats),feats)
colnames(feats) <- c('id',names)
cat('...overall samples: ', nrow(feats), '\n')

feats <- prepLaterality(feats) 

novasmedley/gbmSpm documentation built on May 17, 2019, 10:39 a.m.