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..._Rd: recastDatabaseTable.Rd:39-41: Dropping empty section \note prepare_Rd: recastDatabaseTable.Rd:36-38: Dropping empty section \author prepare_Rd: recastDatabaseTable.Rd:33-35: Dropping empty section \references prepare_Rd: recastDatabaseTable.Rd:45-47: Dropping empty section \seealso prepare_Rd: saveTable.Rd:20-22: Dropping empty section \details prepare_Rd: saveTable.Rd:30-32: Dropping empty section \note prepare_Rd: saveTable.Rd:24-26: Dropping empty section \references prepare_Rd: saveTable.Rd:36-38: Dropping empty section \seealso prepare_Rd: saveTable.Rd:39: Dropping empty section \examples...

...his way that the function takes the values from the dataframe, one scalar value by time, and writes them immediately to the file. This, of course, puts certain limitations on the contents of dataframe and output format. Here is an example of the result: > dim(e2000) [1] 7505 1197 > library(savetable) > system.time(save.table(e2000, "e2000")) [1] 38.04 0.48 48.75 0.00 0.00 > library(MASS) > system.time(write.matrix(e2000, "e2000", sep=",", 1)) -- killed after 10 minutes swapping. And now a smaller example: > dim(e2000s) [1] 100 1197 > lib...

Hi, Sorry about making this stupid question, but I did not find the answer from documentation. I managed to read my spss .sav file into the R, no problem. Next I would like to write this data to a file in ascii-format. I tried to use write.table and I got no error messages, but no file either. What is the right way to make it? At least write.table("c:\foo\data.dat") does not

A friend of mine recently mentioned that he had painlessly imported a data file with 8 columns and 500,000 rows into matlab. When I tried the same thing in R (both Unix and Windows variants) I had little success. The Windows version hung for a very long time, until I eventually more or less ran out of virtual memory; I tried to set the proper memory allocations for the Unix version, but it never