Hi, I'm trying to get better at things like lapply but it still stumps me. I have a function I've written, tested and debugged using individual calls to the function, ala:
ResultList5 = DoAvgCalcs(IndexData, Lookback=5, SampleSize=TestSamples , Iterations=TestIterations ) ResultList8 = DoAvgCalcs(IndexData, Lookback=8, SampleSize=TestSamples , Iterations=TestIterations ) ResultList13 = DoAvgCalcs(IndexData, Lookback=13, SampleSize=TestSamples , Iterations=TestIterations ) ResultList21 = DoAvgCalcs(IndexData, Lookback=21, SampleSize=TestSamples , Iterations=TestIterations ) The function returns a list of numbers which I use for processing later. I'd like to run this on a longer list (100's of values for Lookback) so my thought was to try lapply but so far I cannot get the darn thing right. Let's say I want to run the function on a string of values: BarTestList = list(seq(5:20)) So my thought was something like: x = list(seq(5:20)) ResultList = lapply(x, DoAvgCalcs, IndexData, Lookback=x, SampleSize=TestSamples , Iterations=TestIterations ) which fails down lower complaining that what it's receiving for Lookback isn't an integer: > x = list(seq(5:20)) > ResultList = lapply(x, DoAvgCalcs, IndexData, Lookback=x, > SampleSize=TestSamples , Iterations=TestIterations ) Error in MyLag(df$Close, Lookback) : (list) object cannot be coerced to type 'integer' > Can someone suggest how to do this correctly? Thanks, Mark ______________________________________________ R-help@r-project.org mailing list 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.