On Wed, Jan 7, 2009 at 10:23 AM, Amy Mikhail <amy.mikh...@googlemail.com>wrote:
> Dear list,
>
> I will shortly have some data that contains numeric dates in the Persian /
> Jalali calendar format, which I would like to convert to gregorian. At the
> moment there doesn't seem to be a function for this in R, but it would be
> great if someone could come up with same - I would attempt it but the
> algorithm is very complex and this is also way beyond my fairly rudimentary
> knowledge of R.
>
> How do you feel about mixed language programming?
I don't know anything about Jalali dates, but I took the time to check and
found that Perl has modules that handle this (use CPAN or, on windows, PPM
to find them). However, like the C code you found, it will convert values a
date at a time. I don't know why this would be an issue.
I have never tried to use either C or perl from within R, but if you can
handle that, it would be trivial to apply these function calls to each value
in a vector (or array if you prefer) in functions written in either C/C++ or
perl. In both C++ using STL and Perl, that would require only one line of
code, and perhaps a couple more in C to manage the required loop if you
restrict yourself to C, ignoring the benefits of C++.
If I were doing this, I'd do it even before storing the data in my database,
or at least before importing it into a dataframe in R, but that is primarily
because I am still learning R, having used it for only a few months, rather
than a few years using perl and 15+ years using C++. I am so early on my R
learning curve that I haven't yet looked at writing code in C++ or Perl that
is to be called by R. While I haven't read through it in enough detail to
play seriously with it, the method for using such code from with R described
in "Writing R
Extensions<file:///C:/Program%20Files/R/R-2.8.0/doc/manual/R-exts.html>"
seems simple enough. Instead of writing the code to implement your
'complex' algorithm, why not just use the code you've found, or that
available in CPAN (I don't know about you, but I hate reinventing the
wheel), and create the trivial extension needed following the instructions
in "Writing R
Extensions<file:///C:/Program%20Files/R/R-2.8.0/doc/manual/R-exts.html>",
or do it to the raw data before you import it into R?
HTH
Ted
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