thank you, simon. this was very interesting indeed. I also now
understand how far out of my depth I am here.
fortunately, as an end user, obviously, *I* now know how to avoid the
problem. I particularly like the as.list() transformation and back to
as.data.frame() to speed things up without los
Robert,
it's not the handling of row names per se that causes the slowdown, but my
point was that if what you need is just matrix-like structure with different
column types, you may want to use lists instead and for equal column types
you're better of with a matrix.
But to address your point,
Hi Simon,
On 03/07/11 05:30, Simon Urbanek wrote:
This is just a quick, incomplete response, but the main misconception is really
the use of data.frames. If you don't use the elaborate mechanics of data frames
that involve the management of row names, then they are definitely the wrong
tool
