Hi,
I'm trying to group rows in a dataframe with SPCLORatingValue factor >16 and
summing the Wgt's that correspond to this condition. There are 100 dataframes
in a list.
Some of the dataframes won't have any rows that have this condition
SPCLORatingValue>16 and therefore no corresponding weight.
My problem is that I need to have a corresponding value for each dataframe in
the list - so 100 values.
If dataframe 44 doesn't have any SPCLORatingValue>16, then I end up getting a
vector that's 99 long vs. 100. putting value 45 into 44's slot and so on.
Is there either an if/else statement or argument I can place into subset to put
a 0 for the data frames that don't have SPCLORatingValue>16?
GenEval[18,1:100] <-
t(summaryBy(Wgt.sum~as.numeric(.id),data=subset(ldply(Generation,function(x)
summaryBy(Wgt ~ SPCLORatingValue, data=x,
FUN=c(sum))),SPCLORatingValue>16),FUN=c(sum),order=FALSE))
Any help or guidance would be greatly appreciated!
Many Thanks,
Vince
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