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Is there a method to save a large and complex R object (either as a binary or text file) so that it can be loaded and reused at a later time? Specifically, I am creating large lists (several thousand elements), each element of which is either a vector or a matrix (with ~ 2000 rows). The dimensions of the matrices are not all the same. My ideal would be a set of functions of the form obj

Hi Is there a maximum length for the character string representing a level of a factor? I have a set of several million variables, each a factor of length 19. Each factor level is a character string which in some cases can be many thousands of characters long. I am trying to find out why my analysis fails - I just wanted to rule out the possibility that the internal factor conversion has a

Full_Name: Richard Mott Version: 1.9.0 OS: Windows XP Submission from: (NULL) (81.178.233.208) Shouldn't these give the same answer? > pchisq(67.60644,df=1,lower.tail=F,ncp=0) [1] 3.219647e-15 > pchisq(67.60644,df=1,lower.tail=F) [1] 1.996145e-16 >

Does anyone know a way to do the following: Save a large number of R objects to a file (like load() does) but then read back only a small named subset of them . As far as I can see, load() reads back everything. The context is: I have an application which will generate a large number of large matrices (approx 15000 matrices each of dimension 2000*30). I can generate these matrices using an