[R] How do I break my addiction to for loops!?!?

From: Justin Haynes <jtor14_at_gmail.com>
Date: Fri, 13 May 2011 15:18:09 -0700

I know I'm not supposed to use them... but they're just so easy! I have trouble defining an appropriate function for plyr or apply!


So... I am currently generating a table and a geom_boxplot and squish em together with gridExtra. But, for columns U,V and W I want to use group1 as my split variable and columns X, Y and Z I will use group2. I also need to make it as flexible as possible.

What I've got now is...

box.vars<-match(c('U','V','W'),colnames(df)) index.group<-match('group1',colnames(df))


for(j in 1:length(group.types)){
  for(i in 1:length(box.vars)){
    index.rows<-which(df[,index.group]==group.types[j] & df[,box.vars[i]]!=0)

    p<-p+geom_boxplot()+labs(x='Machine ID',y=names(df[box.vars[i]]))
    mins<-round(tapply(df[index.rows,box.vars[i]],df$machine[index.rows],min),digits=3)     maxes<-round(tapply(df[index.rows,box.vars[i]],df$machine[index.rows],max),digits=3)     medians<-round(tapply(df[index.rows,box.vars[i]],df$machine[index.rows],median),digits=3)     table.out<-data.frame(min=mins,median=medians,max=maxes)     # + misc. gridExtra lines

Currently I hard code the box.vars and index.group which is ok with me, but the for loops should be in a fancy function. Anyway, im sure theres an elegant plyr or apply that can do this for me... but as I said before, I need a FA Group (for loops anonymous)...

Also, this winds up being a lot of calcs on a big data set. So, if you have magical ff, big.memory and/or doMC suggestions I'm all ears, I just have very little understanding of how they're working.

Thanks for your help,

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https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. Received on Fri 13 May 2011 - 22:24:39 GMT

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