Hi Group,
I have a doubt in regard to cyclic loess method.

normalize.loess(data,epsilon=1,log.it=F,span=0.4,maxit=4).
As I understand that the number of iterations (maxit) should be performed
until there is no convergence.
1) Would it make a difference if I log and do the cyclic loess or use
unlogged dataset to perform cyclic loess(by mentioning in the function
log.it=F)? I am asking this because in the microarray dataset of 48 samples
when I log then it goes on and on and never gives "no convergence" for
atleast 10 iterations that I tested.But when I use unlogged dataset it gives
no convergence after 4 iterations.
Could anyone tell me if by not performing the log, can I still  get a good
normalized dataset by cyclic loess?
Waiting for your reply,
Thanks,
Viritha

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