R help - May 2007 - looking for equivalent of matlab's medfilt1 function

Dear all, 
I have several files with Matlab code, which I am translating to R.

For the zero-level approach, I took the very old shell script from R-help
archives, which has made some obvious leg-work such as replacement of
"="
with "<-".

Now I am translating indexing, matrix operations and function call using
this table
http://37mm.no/mpy/octave-r.html

The problem is, I cannot find the R equivalent of the matlab's function
medfilt1, performing 1-dimensional median filtering of a vector. Its summary
is here http://www-ccs.ucsd.edu/matlab/toolbox/signal/medfilt1.html

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>>>>> "Vladimir" == Vladimir Eremeev <wl2776 at
gmail.com>
>>>>>     on Mon, 7 May 2007 07:58:48 -0700 (PDT) writes:
    Vladimir> Dear all, 
    Vladimir> I have several files with Matlab code, which I am translating
to R.

    Vladimir> For the zero-level approach, I took the very old
    Vladimir> shell script from R-help archives, which has made
    Vladimir> some obvious leg-work such as replacement of "="
    Vladimir> with "<-".

    Vladimir> Now I am translating indexing, matrix operations and function
call using
    Vladimir> this table
    Vladimir> http://37mm.no/mpy/octave-r.html

You should also look at the 'matlab' package which
defines quite a few R functions such as eyes(), zeros(), repmat(),
to behave as the Matlab functions do.


    Vladimir> The problem is, I cannot find the R equivalent of the
matlab's function
    Vladimir> medfilt1, performing 1-dimensional median filtering of a
vector. Its summary
    Vladimir> is here
http://www-ccs.ucsd.edu/matlab/toolbox/signal/medfilt1.html
To statisticians, this has been known as "running medians",
thanks to John Tukey.
The smooth() function contains "smart" variations of 
"running median of 3" which seems to be the matlab default.

For 'k > 3', I'd recommend the fast  runmed(x, k)
function which also has a bit more sophisticated end-point
handling than Matlab's medfilt1() seems to provide.

Martin