discretizeTumVols: Discretize tumor volume.

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

Description

Discretize tumor volume.

Usage

discretizeTumVols(tumorVols, tType)

Arguments

tumorVols	a dataframe of tumor volume, see Details
tType	char, abbrev. type of tumor data to use, see getVolTypeName for valid values

Details

tumorVols contains tumor measurement events as rows and at least the following columns:

• iois = patient id, char

• agent_detail = event attribute, i.e., measured tumor volume in mm3 char

• startdate = event start datein the format 'YYYY-MM-DD', char

• eventName = event name, char

Value

A dataframe with original data in tumorVols plus discretized volumes in eventName column.

Examples

data("fake_data")
vols <- fake_data$events[fake_data$events$agent=='measurement', ]

# format data
vols$startdate <- as.Date(as.character(vols$startdate), format='%Y-%m-%d')
vols$enddate <- as.Date(as.character(vols$enddate), format='%Y-%m-%d')
vols <- resetEventIDsToDays(vols)
vols <- removeData(vols) # get rid of excess details and empty or no data

vols_dist <- discretizeTumVols(vols, tType = 'rate')

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