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so weamp;#39;ve run the functional connectivity analysis and now we would like to convert them into z-scores the slide step is short but it is relatively important the idea is when we have a series of correlation coefficients weamp;#39;ve generated usually they are slightly skewed this is the nature of correlation coefficients but if we convert them to z-scores then they are approximately more normal and then they can form more to the assumption of normality that we usually deal with with things like t-tests and anovas so all we can do here is use 3d calc to do this transformation for a iamp;#39;m going to make that variable be this data set that we just created so of course subject one plus tlrc and then expression is going to be log and itamp;#39;s one plus a or our z map and then weamp;#39;re going to divide that by one minus a and this whole thing is going to be multiplied by 0.5 or one-half and the prefix here letamp;#39;s call that subject one z plus tlrc yeah there we go a
