It is my understanding that if the data distribution is positively skewed , one can take a log of the data. If it's negatively skewed, one should 'flip' it by adding 1 to the largest value, and a series of steps that are probably best explained as follows:
Original values are 1-8.
Add 1 to 8 = 9.
FLIPX=9-X
LOGFLIPX=LOG(FLIPX)
LOGX=.903089 - LOGFLIPX
where .903089 is the log of the original largest value (8).
My question: What if my positively skewed data all have negative values, say from -1 to -7? Does the same logic/procedure still hold?
Thanks,
DW
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