Unlike in S-plus, the datasets for R are in a single file .RData. Consequently, it becomes hard to clean the objects after it grew too big. In particular, I wonder o how to locate the objects with big sizes (and then delete them) among hundreds of objects (output of ls()). In Splus on UNIX, I use ls in the shell to work on this, since objects correspond to separate UNIX files. For R, this must be worked on differently. o how to add another database (data + functions) in the search path. In Splus, I use attach("directory/.Data") This way, I could keep the It seems not work in R. Error: attach only works for lists and data frames Creating a library will be one solution. Some data are not permanent. Are there some simple commands to expand the search path? If you had similar experiences and have found a way, please let me know. Regards Fan -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._