Dear Ted and  R- users and Helpers
       thanks ted once again for letting me know about Shafer's EM methods....
         I am developing  or rather working on  windows platform. how do I use or rather install the contributed packages in my application or script.
       I could find documentation for unix paltform
eg

$ R CMD INSTALL /path/to/pkg_version.tar.gz


and for windows...the zip file conatins a package.dll file...in the lib folder of the package...my hunt for R help documentation regarding insatlling and using packing on windows platform is on....if anybody could guide me on this...please.



regards
Kunal



Ted.Harding@nessie.mcc.ac.uk (Ted Harding) wrote:
> On 07-Oct-04 Kunal Shetty wrote:
> > Dear R- users and Helpers
> > 
> >        I am a beginner for R. I am using R to implement EM algorithm
> > for treating Missing values. I would like to know how can save or
> > compile my logical R commands to an application; so that the next time
> > I could just execute the R- file.
> > 
> > Example for calculating the mean of  a data set
> > 
> > x <- c(8,11,16,18,6,4,20,25,9,13)
> > u <- mean(x)
> > u
> > 
> > Now I would like to save these commands as batch or an application
> > 
> > Anybody could please help or direct me in this problem
> 
> 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@nessie.mcc.ac.uk>
> Fax-to-email: +44 (0)870 094 0861  [NB: New number!]
> Date: 07-Oct-04                                       Time: 19:32:22
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