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How to create a R -application

8 messages · Kunal Shetty, Adaikalavan Ramasamy, (Ted Harding) +2 more

Original
Adaikalavan Ramasamy
# 
This is not answering your question directly.

I usually use the BATCH command for running R non-interactively. You can
also use commandArgs() to get any arguments from the command line. For
more information, see help(BATCH) or help(commandArgs).
On Thu, 2004-10-07 at 16:14, Kunal Shetty wrote:
(Ted Harding)
#
On 07-Oct-04 Kunal Shetty wrote:
There are several approaches possible, depending on what you find
convenient at the time.

1. Have a look at the history-related commands:

  ?history

  savehistory(file="mycommands")

will save the entire history of your session in "mycommands" which
you can later edit.

2. In developing an application, I often experiment with different
forms of a command or different combinations of commands. When I'm
satisfied with a group of commands, I can copy-and-paste that part
of the R window into a file which I have open in a separate editing
window on the side (using X windows in Linux here, which makes this
very easy).

It can be convenient to use the 'history' command setting the
"max.show" parameter (default=25), e.g.

  history(max.show=15)

will give you only the last 15 commands you used. You can then
copy over a selected few of these.

3. A converse version of (2) is to initially enter the commands
into your editing window, and then copy-and-paste these into
the R window to test them. Edit the commands file until you're
happy.

While I'm at it, are you aware of the R library packages 'cat',
'norm', 'mix' and 'pan' which implement Shafer's EM methods
for imputing missing data? See CRAN.

Good luck, and welcome to R!
Ted.


--------------------------------------------------------------------
E-Mail: (Ted Harding) <Ted.Harding at nessie.mcc.ac.uk>
Fax-to-email: +44 (0)870 094 0861  [NB: New number!]
Date: 07-Oct-04                                       Time: 19:32:22
------------------------------ XFMail ------------------------------
Ko-Kang Kevin Wang
# 
Hi,
On Thu, 7 Oct 2004, Kunal Shetty wrote:

            

      
      
      
    

        
R is an interpreted language, not a compiled one like C++ or Java.
Therefore you don't compile it.  And for such a simple example, there
isn't much need in doing so.

However, compilation may come in handy when you are running simulations
and/or with some long loops, as interpreted languages aren't really good
at handling loops -- although you can get around with many loops by
vectorisation.  I think Luke Tierney is working on an R Compiler, which
will allow you to compile such simulation and will decrease the running
time a lot...but I'm not sure when it will be released.

Cheers,

Kevin

--------------------------------
Ko-Kang Kevin Wang
PhD Student
Centre for Mathematics and its Applications
Building 27, Room 1004
Mathematical Sciences Institute (MSI)
Australian National University
Canberra, ACT 0200
Australia

Homepage: http://wwwmaths.anu.edu.au/~wangk/
Ph (W): +61-2-6125-2431
Ph (H): +61-2-6125-7407
Ph (M): +61-40-451-8301

  
  


  


      

    

    

      
      

        


  

        

      PIKAL Petr
    

    

      
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On 7 Oct 2004 at 17:49, Adaikalavan Ramasamy wrote:

        

            

      
      
      
    

        
Or you can make a function from your commands and use it to 
process your data. See ?function and "Writing your own functions" 
in intro docs.

Or you can copy/paste to some suitable text editor, save it as plain 
text and copy/paste it back to R later (with any modifications).

Cheers
Petr

            

      
      
      
    

        

      
      
    

            

      
      
      
    

        

      
      
    

        
Petr Pikal
petr.pikal at precheza.cz

  
  


  


      

    

    
5 days later