[R] Vectorise a for loop?

From: john seers (IFR) <john.seers_at_bbsrc.ac.uk>
Date: Tue 26 Sep 2006 - 12:52:21 GMT


Hi R guru coders  

I wrote a bit of code to add a new column onto a "topTable" dataframe. That is a list of genes processed using the limma package. I used a for loop but I kept feeling there was a better way using a more vector oriented approach. I looked at several commands such as "apply", "by" etc but could not find a good way to do it. I have this feeling there is a command or technique eluding me. (Is there an expr:value1?value2 construction in R?)  

Can anybody suggest an elegant solution?  


So, the topTable looks like this:  

> topa1[1:5,c(1,2,3,4)]

          ID    Name GB_accession         M
11195 245828 SIGKEC9     AX135029 -7.670197
10966    107    FHL1       B14446 -5.089926
6287   25744     M90    LL137340 -4.531744
777     2288   VSNL1     LF039555 -4.035472
11310 272294     M98    LL031650  3.866422


I want to add a "fold" column so it will look like this:  

> topa1[1:5,c(1,2,3,4,10)]

          ID    Name GB_accession         M      fold
11195 245828 SIGKEC9     AX135029 -7.670197 203.68521
10966    107    FHL1       B14446 -5.089926  34.05810
6287   25744     M90    LL137340 -4.531744  23.13082
777     2288   VSNL1     LF039555 -4.035472  16.39828
11310 272294     M98    LL031650  3.866422  14.58508


The fold values is calculated from the M column which is a log2 value. The calculation is different depending on whether the M value is negative or positive. That is if the gene is down regulated the reciprocal value has to be used to calculate a fold value.  

Here is my clunky, not vectorised code :  

# Function to add a fold column to the toptable ttfold<-function(tt) {
 for (i in 1:length(tt$M)) {
  if (tt$M[i] < 0 ) {
  } else {
 tt<-cbind(tt, fold)

# Add fold column to top tables




John Seers
Institute of Food Research
Norwich Research Park

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Received on Tue Sep 26 22:59:29 2006

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