Message-ID: <1321061218578-4033263.post@n4.nabble.com>
Date: 2011-11-12T01:26:58Z
From: Schrabauke
Subject: Time series analysis with random effects
Hi folks,
i have some problems with my evaluation. We have collect tons of data from
23 testpersons for our new road study.
I have now a time series for each person and all the logs when he
accelerates or hits the break trying to solve five different tasks.
The dataset lools like:
# Unixtime time accelerate break UserID
task
#10372 1312358742 10:05:41.600 3.054 0.000 2 "lane"
#10373 1312358742 10:05:41.700 3.056 1.000 2
"emergency"
The break variable is binary and i want to test if there is a significant
difference between the tasks using the break variable.
I have not really a clue what i have to look for. My idea was to use a 2
Sample t-test for the accelerate variable but the conditions are not
fulfilled for this test.
I am not really experienced with time series analysis so thanks a lot for
your advice!
Bernd
--
View this message in context: http://r.789695.n4.nabble.com/Time-series-analysis-with-random-effects-tp4033263p4033263.html
Sent from the R help mailing list archive at Nabble.com.