Hi All, I'm currently trying to write an S4 class that mimics a data.frame, but stores data on disc in HDF5 format. The idea is that the dataset is likely to be too large to fit into a standard desktop machine, and by using subscripts, the user may load bits of the dataset at a time. eg:
> myLargeData <- LargeData("/path/to/file") > mySubSet <- myLargeData[1:10, seq(1,15,by=3)] I've therefore defined by LargeData class thus > LargeData <- setClass("LargeData", representation(filename="character")) > setMethod("initialize","LargeData", function(.Object,filename) > .Object@filename <- filename) I've then defined the "[" method to call a C++ function (Rcpp), opening the HDF5 file, and returning the required rows/cols as a data.frame. However, what if the user wants to load the entire dataset into memory? Which method do I overload to achieve the following? > fullData <- myLargeData > class(fullData) [1] "data.frame" or apply transformations: > myEigen <- eigen(myLargeData) In C++ I would normally overload the "double" or "float" operator to achieve this -- can I do the same thing in R? Thanks, Chris ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel