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The “R” Statistical Package Naomi Altman Dept. of Statistics PSU

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The “R” Statistical Package. Naomi Altman Dept. of Statistics PSU. What is R?. R is a “freeware” version of the S or Splus package. R is available on Windows, Mac, Unix and Linux. R follows the “toolbox” philosophy – provide the tools and components and let the users build the machines. - PowerPoint PPT Presentation

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Page 1: The “R” Statistical Package

The “R” Statistical Package

Naomi AltmanDept. of Statistics

PSU

Page 2: The “R” Statistical Package

What is R?

R is a “freeware” version of the S or Splus package.

R is available on Windows, Mac, Unix and Linux.R follows the “toolbox” philosophy – provide the

tools and components and let the users build the machines.

Currently, R has lots of built-in “machines” (i.e. statistical methods) and many developers contributing free software – in particular, genomics, proteomics and spatial software.

Page 3: The “R” Statistical Package

R vs SAS, Minitab and othersStrengths of R• Good algorithms• User community with listserv• Very extensible – open source• Excellent graphics• Lots of contributed special purpose software (e.g.

bioinformatics, spatial statistics …)Weaknesses of R• “Hacker-friendly”• Documentation is scattered• User-contributed software can be idiosyncratic• Very slow • Poor memory management

Page 4: The “R” Statistical Package

Downloading R (www.r-project.org)

Page 5: The “R” Statistical Package
Page 6: The “R” Statistical Package

Installing R

Click on the appropriate platform.

On Windows:

Download the .exe file. (Note that for some packages you may want an older version.)

Run the .exe file from the start menu.

Page 7: The “R” Statistical Package

Summary

R is easy to:

• obtain

• install

• extend

The learning curve is long.

R is slow compared to platforms like Perl, C++, etc.


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