cleanData: Clean data to desired format ready for 'arulesSequences'.

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

Description

Clean data to desired format ready for 'arulesSequences'.

Usage

cleanData(event, tType = "r", removeChemo = T)

Arguments

event:	dataframe, events as rows and at least the following columns: iois patient id, int agent event type, char agent_detail event attribute, char startdate event start date, char will be formatted 'YYYY-MM-DD' Date enddate event end date, char will be formatted 'YYYY-MM-DD' Date
tType:	char, type of tumor data to use: see 'getVolTypeName' for valid values
removeChemo:	bool, remove chemo event types

Value

event: dataframe, cleaned and formated information with added columns:

• eventID event id, num, see resetEventIDsToDays

• endEventID end event id, num, see resetEventIDsToDays

• eventName unique event name, char, see createEventNames

Examples

data("fake_data")
cleaned <- cleanData(fake_data$events, tType='r',  removeChemo=T)

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