organise.behavioural.base {eyeTrackR} | R Documentation |
Save RT and Accuracy split by specified columns.
Description
Save RT and Accuracy split by specified columns.
Usage
organise.behavioural.base(
fixreport_df,
grouping_column_list,
response_period_start = ""
)
Arguments
fixreport_df |
Fixation report. |
grouping_column_list |
List of columns to split by. |
response_period_start |
Message that starts the RT timer. |
Value
Summarised behavioural information as a data.table.
Examples
data(fixationreport)
data(messagereport)
# REPLACE SPACES IN MESSAGES
messagereport <- organise.message.replace_spaces(messagereport)
# TAKE A LOOK
print(organise.message.descriptives(messagereport))
# MARKUP
fixationreport <- organise.message.markup(message_df=messagereport,
fixreport_df = fixationreport, message="DISPLAY_START")
fixationreport <- organise.message.markup(message_df=messagereport,
fixreport_df = fixationreport, message="DISPLAY_CHANGE")
# NOW DO ACCURACY AND RT MARKUP
fixationreport <- organise.responses.markup(fixationreport, "CORRECT_RESPONSE")
# NOW MARK UP FIXATION CONTINGENCIES
fixationreport<-organise.message.fix_contingencies(fixationreport,
list("DISPLAY_START", "DISPLAY_CHANGE", "RESPONSE_TIME"))
# SET UP TRUE RT
fixationreport[,TRUE_RT:=RESPONSE_TIME-DISPLAY_START,]
behaviouralData <- analyse.behavioural.data(fixationreport,
aggregation_column_list = list('TRIALTYPE_TEXT'))
# RANDOM TRIAL TO CHECK THINGS OUT
print(organise.checks.random_trial(fixationreport))
# FIX CONTINGENCIES
print(organise.contingencies.descriptives(fixationreport))
# REMOVE MISSING EVENTS - HERE, TRIALS WHICH LACKED A RESPONSE
messageRemovals <- organise.message.removals(fixreport_df=fixationreport,
required_message_list=list("DISPLAY_CHANGE", "RESPONSE_TIME"))
# LOOK AT MESSAGE REMOVALS
print(messageRemovals[[1]])
# GRAB THE FIXATION REPORT WITH TRIALS REMOVED
fixMessagesRemoved <- messageRemovals[[2]]
# THIS SHOWS WE HAVE NO UNCLASSIFIED FIXATIONS, GOOD!
print(organise.contingencies.descriptives(fixMessagesRemoved))
# GET A BEHAVIOURAL DATASET FOR ANALYSES AND SAVING ETC.
behavDT<- organise.behavioural.base(fixreport_df = fixMessagesRemoved,
list( 'TRIALTYPE_TEXT'), response_period_start="DISPLAY_START")
[Package eyeTrackR version 1.0.1 Index]