On May 3, 2012, at 5:40 PM, victor jimenez wrote:
> First of all, thank you for the answers. I did not know about zoo. However,
> it seems that none approach can do what I exactly want (please, correct me
> if I am wrong).
>
> Probably, it was not clear in my original question. The CSV files onl
Victor,
I understand you as follows
The first two columns of the desired combined dataframe are the last two
levels of the pathname to the csv file.
The columns in all the data.csv files are the same, namely, there is
only
one column, and it is named PERF.
If so, the following
On Thu, May 03, 2012 at 11:40:42PM +0200, victor jimenez wrote:
> First of all, thank you for the answers. I did not know about zoo. However,
> it seems that none approach can do what I exactly want (please, correct me
> if I am wrong).
>
> Probably, it was not clear in my original question. The C
First of all, thank you for the answers. I did not know about zoo. However,
it seems that none approach can do what I exactly want (please, correct me
if I am wrong).
Probably, it was not clear in my original question. The CSV files only
contain the performance values. The other two columns (ASSOC
On Thu, May 3, 2012 at 2:07 PM, victor jimenez wrote:
> Sometimes I have hundreds of CSV files scattered in a directory tree,
> resulting from experiments' executions. For instance, giving an example
> from my field, I may want to collect the performance of a processor for
> several design paramet
Sometimes I have hundreds of CSV files scattered in a directory tree,
resulting from experiments' executions. For instance, giving an example
from my field, I may want to collect the performance of a processor for
several design parameters such as "cache size" (possible values: 2, 4, 8
and 16) and
