r-project

[satimis]

Hi folks,


Any folk has experience on r-Project;
The R Project for Statistical Computing

Please shed me some light on its main application with examples.

The package is availabl on Ubuntu repo;

$ apt-cache policy r-base-html

r-base-html:
  Installed: (none)
  Candidate: 2.4.1-1
  Version table:
     2.4.1-1 0
        500 http://us.archive.ubuntu.com feisty/universe Packages

$ apt-cache policy r-doc-pdf

r-doc-pdf:
  Installed: (none)
  Candidate: 2.4.1-1
  Version table:
     2.4.1-1 0
        500 http://us.archive.ubuntu.com feisty/universe Packages

I have been googling a while, Not much information discovered.


What is R?
Introduction to R
has some explanation there on the application of r-project.


What is the difference in application amongst;

SPSS
SPSS, Data Mining, Statistical Analysis Software, Predictive Analysis, Predictive Analytics, Decision Support Systems
The commercial statistic computing software

PSPP
PSPP - GNU Project - Free Software Foundation (FSF)
The Open Source statistic computing software

and

R-Project
???


I know the former 2. SPSS is very expensive. PSPP is free to use. I want to test PSPP if I have time.


TIA


B.R.
satimis

[Thrillhouse]

Well, I'm no expert but I have used R a little bit in the past. Not much, though. Most of the statistical work I've done has been with SAS. R is essentially the open source equivalent to SAS.

Basically, the purpose of it is to perform analysis on large data sets. See, it's easy for statisticians to do this with small data sets but when you are dealing with data sets that have many thousands of observations, the task is significantly more difficult. With R, you can feed that large data set into the program, and then perform all sorts of analysis on it. The data can be read in from a file or through the command line although it's much easier from a file and you're less likely to make a mistake. After that, it's just a matter of knowing which statistical function you want to perform and applying the correct syntax.

As for comparisons, I believe R is considered the open source standard but I've never tried, or even heard of, the other two you mentioned so I can't speak to their capabilities.

[satimis]

Well, I'm no expert but I have used R a little bit in the past. Not much, though. Most of the statistical work I've done has been with SAS. R is essentially the open source equivalent to SAS.

Basically, the purpose of it is to perform analysis on large data sets. See, it's easy for statisticians to do this with small data sets but when you are dealing with data sets that have many thousands of observations, the task is significantly more difficult. With R, you can feed that large data set into the program, and then perform all sorts of analysis on it. The data can be read in from a file or through the command line although it's much easier from a file and you're less likely to make a mistake. After that, it's just a matter of knowing which statistical function you want to perform and applying the correct syntax.

As for comparisons, I believe R is considered the open source standard but I've never tried, or even heard of, the other two you mentioned so I can't speak to their capabilities.

Thanks for your advice.


Where can I find examples/projects highlighting the application of R? TIA


satimis

[Vergil83]

Thanks for your advice.


Where can I find examples/projects highlighting the application of R? TIA


satimis

Well that would be hard since I don't people regularly report what program they are using to perform statistical tests. They would just report the results of the test.

SPSS is weaker than R or SAS would be since it is primarily gui driven (I think it is scriptable, but it wasn't made to be). I haven't use the PSPP program.

[drl]

Hi.

Like Thrillhouse, I have not used "R" much. There are introductory manuals on-line at The R Project for Statistical Computing , but I have used the book noted below as well, because "R" is the open-source version of "S".

See also a similar thread at http://www.linuxforums.org/forum/lin...-software.html ... cheers, drl

Title: The New s Language
Subtitle: A Programming Environment for Data Analysis and Graphics
Author: Richard A. Becker, John M. Chambers, Allan R. Wilks
Edition: 1st
Date: June 1988
Publisher: Wadsworth & Brooks; Chapman & Hall
ISBN: 053409192X
Pages: 550
Categories: statistics, scripting, data analysis, graphics
Comments: Can also be used with "R": The R Project for Statistical Computing