I have a data frame containing the results of time measurements taken from
several cells. Each cell was measured in conditions A and B, and there are
an arbitrary number of measurements in each condition. I am trying to
calculate the difference of each measurement from the mean of a given cell
in a given condition without relying on loops.
>my.df
id cond time
1 cell1 A 343.5
2 cell1 A 355.2
...
768 cell1 B 454.0
...
2106 cell2 A 433.9
...
as a first approach I tried:
> mews<-aggregate(my.df$time, list(cond=data$id, id=data$cond), mean)
id cond time
cell1 A 352
cell1 B 446
cell2 A 244
cell2 B ...
I then tried to use %in% to match id and cond of mews with my.df, but I
haven't been able to get it to work.
Am I on the right track? What are some other solutions?
Thanks for any help.
jason
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