I still wonder what's the typical workflow of those folks who use rpy
seriously. Do you access objects loaded in R or use numpy arrays?
What's the typical dichotomy -- data and text in rpy, models and
graphs in R? What rpy code is there to look at for large
computational tasks, as exampl
Greetings -- i want to read in a huge table and slice it, plotting
pieces of it with R. The table t looks like,
run ord unitwords new
1 1 14971009697
1 2 21121009538
1 3 20351004484
1 4 14921035463
In
Greetings -- in R, one can index a data.frame as either a list of
columns or as a matrix. In rpy, looks like it's a hash of lists.
Moreover, despite the fact I made NumPy available before building
rpy, the type of lists is 'list'. How do I check that NumPy arrays
are used indeed? What a
