Displaying 3 results from an estimated 3 matches for "normailze".
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normailize
2005 Jul 09
1
Quantile normalization and NA
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,
2009 Jul 31
1
scale subsets of grouped data in data frame
...by each group
So in pseudo-code
for(group in groups){
if(column_name = regex(group_.*)){
data[column_name] = scale(data[group,column_name])
}
}
This way I get "group wise" normalization of my data, but still have the
original values which I will normailze "database wide" for some comparisons.
Can anybody help solve this one?
-N
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2009 Aug 03
2
Scale set of 0 values returns NAN??
Hi,
More questions in my ongoing quest to convert from RapidMiner to R.
One thing has become VERY CLEAR: None of the issues I'm asking about
here are addressed in RapidMiner. How it handles misisng values,
scaling, etc. is hidden within the "black box". Using R is forcing me
to take a much deeper look at my data and how my experiments are
constructed. (That's a very