Thank you. But isn't a data frame already a list? What is wrong with adding a column to the existing data frame (a column with the mortality curve matrices)?
Sorry if I am being difficult. Just want to learn good design in R. On Sat, Jun 16, 2012 at 5:49 PM, steven mosher <mosherste...@gmail.com> wrote: > use a list. or create new class which is a list > > On Jun 16, 2012 8:52 AM, "Onur Uncu" <onuru...@gmail.com> wrote: >> >> Hello R Community, >> >> I have the following design question. I have a data set that looks >> like this (shortened for the sake of example). >> >> Gender Age >> M 70 >> F 65 >> M 70 >> >> Each row represents a person with an age/gender combination. We could >> put this data into a data frame. >> >> Now, I would like to do some actuarial analysis on this data set. To >> do so, I need to create and store a mortality curve for each person in >> the table (a mortality curve is a matrix with 2 columns: date and >> survival probability). I can write a function that returns a mortality >> curve given gender and age. The question is the following: In what >> data format should I store all these mortality curve objects? Should I >> add a column to the data frame and each entry in that column is a >> matrix (a mortality curve)? This way, the mortality curve would be >> stored next to age/gender data in the data frame. However, I read in >> several places that putting vectors/matrices as elements of a data >> frame is a bad idea. I do not know why. What is a good design choice >> in this instance please? How should I store the mortality curves? >> >> Thank you for your help. >> >> ______________________________________________ >> 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. ______________________________________________ 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.
