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Normalizing Data to Average of a Particular ConditionHi. I have a dataset that I would to normalize, and I would like to know the best way to go about it. The data table is structured (for our purposes) as three columns: subject number, experimental condition, and reaction time. There are five different experimental conditions. I would like to normalize the reaction time for conditions 2, 3, 4, and 5 to the average reaction time for condition 1 for each subject. This would essentially express each reaction time in units of each individual subject's reaction time to allow me to look at the impairment of reaction time for each individual as a function of the experimental condition.

So, I would like a formula or procedure to compute the average reaction time for experimental condition 1 for each subject and divide the reaction times for conditions 2-5 by the average for condition 1.

I appreciate any advice you can give me.Re: Normalizing Data to Average of a Particular Condition"I would like to normalize the reaction time for conditions 2, 3, 4, and 5 to the average reaction time for condition 1 for each subject."

This is unclear. Is there more than one observation for each subject at each condition? You didn't say that there were more than one observation for each subject at each condition.

It would be relatively easy to set each condition to have a mean of zero, which should also then give you the ability to do the comparison that I think you want to do. It is more complicated and time consuming to match everything to condition 1. Would zero means work for you?