prepTumorVol: Get all tumor volume types.

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

Description

Get all tumor volume types.

Usage

prepTumorVol(volumes)

Arguments

volumes

a dataframe containing tumor measurement events acrosss patients, see Details

Details

volumes 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 date in the format 'YYYY-MM-DD', char

• eventName = event name, char

Tumor volume types are:

• volume = volume in original measured units (e.g., mm^3)

• baseline size = earliest tumor volume observed in a patient

• percent change = (Volume_{current} - Volume_{previous})/Volume_{previous}

• rate change = (Volume_{current} - Volume_{previous})/(DaysSinceBaseline_{current} - DaysSinceBaseline_{previous})

Value

volumes dataframe, with additional columns for each type of tumor volume information, see Details

Examples

data("fake_data")
fake_demo <- fake_data$demo
fake_tumorInfo <- fake_data$events

# by default eventName is the volumetric response critera
# will get all types eventually
fake_data$events <- cleanData(fake_data$events) 

# keep tumor volume only
fake_data$events <- fake_data$events[fake_data$events$agent=='measurement',] 
fake_data$events <- prepTumorVol(fake_data$events) # get all tumor vol types

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