Re: [OSGeo-Discuss] Re: Staistical analysis support needed

2010-09-13 Thread Dan Putler

Hi Mayank,

In terms of Eclipse integration look at the statet package: 
http://www.walware.de/goto/statet. In terms of Java/R API (really more 
of a glue layer), look at the rJava package: 
http://www.rforge.net/rJava/, which also includes JRI (something this 
thread has already addressed).


Given where you are in this, the R-sig-geo mailing list is really the 
best home for your questions at the point rather than the OSGeo-Discuss 
mailing list. The R-sig-geo mailing list is a very forgiving place by R 
mailing list standards. A word of warning, most R mailing lists are very 
unforgiving of questions whose answers could have been obtained from a 
web search prior to posting.


Dan

On 09/13/2010 10:17 PM, mayank_agarwal wrote:

Thanks everyone for helping me,

I am using R gor statistical analysis, but how does integrate with Eclipse
and how is the API?
   


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[OSGeo-Discuss] Re: Staistical analysis support needed

2010-09-13 Thread mayank_agarwal

Thanks everyone for helping me,

I am using R gor statistical analysis, but how does integrate with Eclipse
and how is the API?
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Re: [OSGeo-Discuss] Re: Staistical analysis support needed [SEC=UNCLASSIFIED]

2010-09-13 Thread Bruce Bannerman
Mayank,

You may wish to implement this functionality via an OGC Web Processing Service.

That way, if your technology requirements change in the future, you can limit 
the impact of the change.

Bruce



On 14/09/10 1:40 AM, "Alex Mandel"  wrote:

On 09/13/2010 06:45 AM, mayank_agarwal wrote:
>
> Hello Christopher,
> Sorry for that, I didnt mean to be so harsh on GRASS, but as R can be
> bridged with JAVA using JRI library, that's why I prefer R, and then it is
> simpler in using, and I agree that both will have there pros and cons, no
> doubt.
> Never the less thanks for helping me so much and iI am sorry if I hurt you.

Note you can also implement R code inside of Postgres.
http://www.bostongis.com/PrinterFriendly.aspx?content_name=postgresql_plr_tut01

Enjoy,
Alex
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Re: [OSGeo-Discuss] Re: Staistical analysis support needed

2010-09-13 Thread Alex Mandel
On 09/13/2010 06:45 AM, mayank_agarwal wrote:
> 
> Hello Christopher,
> Sorry for that, I didnt mean to be so harsh on GRASS, but as R can be
> bridged with JAVA using JRI library, that's why I prefer R, and then it is
> simpler in using, and I agree that both will have there pros and cons, no
> doubt.
> Never the less thanks for helping me so much and iI am sorry if I hurt you.

Note you can also implement R code inside of Postgres.
http://www.bostongis.com/PrinterFriendly.aspx?content_name=postgresql_plr_tut01

Enjoy,
Alex
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Re: [OSGeo-Discuss] Re: Staistical analysis support needed

2010-09-13 Thread Christopher Schmidt
On Mon, Sep 13, 2010 at 06:45:38AM -0700, mayank_agarwal wrote:
> 
> Hello Christopher,
> Sorry for that, I didnt mean to be so harsh on GRASS, but as R can be
> bridged with JAVA using JRI library, that's why I prefer R, and then it is
> simpler in using, and I agree that both will have there pros and cons, no
> doubt.
> Never the less thanks for helping me so much and iI am sorry if I hurt you.

Not me personally :) I just like to make sure that I'm not
misrepresenting projects; especially ones I don't work on :)

-- 
Christopher Schmidt
Web Developer
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[OSGeo-Discuss] Re: Staistical analysis support needed

2010-09-13 Thread mayank_agarwal

Hello Christopher,
Sorry for that, I didnt mean to be so harsh on GRASS, but as R can be
bridged with JAVA using JRI library, that's why I prefer R, and then it is
simpler in using, and I agree that both will have there pros and cons, no
doubt.
Never the less thanks for helping me so much and iI am sorry if I hurt you.
-- 
View this message in context: 
http://osgeo-org.1803224.n2.nabble.com/Staistical-analysis-support-needed-tp5525745p5526313.html
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Re: [OSGeo-Discuss] Re: Staistical analysis support needed

2010-09-13 Thread Christopher Schmidt
On Mon, Sep 13, 2010 at 04:02:44AM -0700, mayank_agarwal wrote:
> 
> Thanks Christopher,
> 
> I think R is a really good option to use, as GRASS is a desktop GIS.

Er... and? I mean, R is a 'desktop statistics program', right? :)

GRASS can be seen as a command line tool for performing analysis
operations on a set of geospatial data. It can also be many other
things, but calling it a "Desktop GIS" and dismissing it out of hand as
a result is not really fair. 

(You might say something like "Programmatic access to the statistical
options with R will be simpler than doing similar operations with
GRASS"; that *might* be true, though I'm not actually sure.)

In the end, for geospatial analysis, my expectation is that both GRASS
and R will behave similarly; both have a psuedo-language that you use to
operate on data and generate more data / statistics.  Each will have
different pros/cons, but "it's a desktop GIS" isn't really either :)

Regards,
-- 
Christopher Schmidt
Web Developer
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[OSGeo-Discuss] Re: Staistical analysis support needed

2010-09-13 Thread mayank_agarwal

Thanks Noli and Pieter,
As I am finally going with R, thaks for your support, it really helped me.
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[OSGeo-Discuss] Re: Staistical analysis support needed

2010-09-13 Thread mayank_agarwal

Thanks Christopher,

I think R is a really good option to use, as GRASS is a desktop GIS.
-- 
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http://osgeo-org.1803224.n2.nabble.com/Staistical-analysis-support-needed-tp5525745p5525772.html
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