Dear, I need to analyse reaction time. The general idea might be described as this: There are 8x8 circles. My program light a circle at one time. The subject then click the lighted circled as fast as possible. After the correct circle is clicked, then the next circle will be lighted for the subject to click on, and so on.
My questions are: 1. May I use Time Series Analysis? I read that Time Series may be used only for data with regular measurement interval. Can my experiment be considered as regularly measured? Let's assume there are 30 subjects. Each has 330 measured reaction time. I then plot the response time as time series. 2. I need to know if the plots can be classified to groups with different characteristic. That is, I want to check whether there is model (or models) my plots follow. I've read about ARIMA or somekind of model fitting but have no idea about the general concept. Would someone give me some insight?? How to do that with R-Language? Just for additional request, might I know some paper that use time series for analyzing reaction time? I've searched with Google for nearly 2 hours but most of the paper I'm looking for are not free. I would appreciate if I could get real case study. Thank you for the help. regards, Nathanael Gratias indonesia -- View this message in context: http://www.nabble.com/Reaction-Time-and-Time-Series-Analysis-tp15891094p15891094.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
