search for: normailzation

Hi, I am new to R, I am doing quantile normalization with a dat matix of 384X124 and I find that while computing the quantile normailzation it introduces 'NA' into some of the cells, can someone help me to overcome this problem ? This is the command that goes like upto g62 for 124 colomns >g1 <- normalize.quantiles(exprs(MSExpr[,1:2])) For a small set of data there is no problem, but for a large set of data, it introd...

Hello, I'm trying to duplicate what's an easy process in RapidMiner. In RM, we can simply use two operators: subgroup iteration attribute value selection (Can use a regex for the attrribute name.) I can do this in R with a lot of code and manual steps. It would be really nice to find a more automated way. My data looks like this group group_height group_weight height

...r look at my data and how my experiments are constructed. (That's a very "Good Thing") So, on to the question... I'm scaling data based on groups. I have it working well in a nice loop. (This WORKS, but if someone has a faster/cleaner way, I'd be curious.) #group-wide normailzation groups <- unique(rawdata$group) group_names = grep('norm_',names(rawdata)) for(group in groups){ for(name in group_names){ rawdata[rawdata$code==group, name] <- c(scale(rawdata[rawdata$code==group, name])) } } My problem is that if the particular list of data I...