> > For DataFrames, it depends on what you want to do. It is difficult to get > performance with DataArrays as columns using the current implementation. > With the ongoing work by John Myles White on the use of a Nullable type, > that should be much better. Also, you can use standard Arrays as columns of > a DataFrame. It's not documented well, but it can be done. > > Also, if you want to treat a DataFrame like a matrix, then generally the > answer is no. With some "trickery", you can store a view to a matrix in a > DataFrame. Basically, you have to create column views into the matrix. Here > is an example. It might be useful if you want to treat all or part of a > DataFrame as a matrix. >
Thanks a lot for an excellent explanation and the example. I'll try it out. Looks promising. Jan