Tools and Tips

There is need to know more than one language for crunching data.

Python, R, SPSS, Matlab,, Julia, SAS - At least 2/3

Note:- C or Java are not a statistical language. Some suggested combinations are:

Set-1

  • R for SAS and SPSS Users
  • SPSS and R reference
  • SAS/IML and R reference
  • JMP and R reference http://www.jmp.com/support/help/Working_with_R.shtml

Set-2

  • R for Stata Users

Set-3

  • SAS and R

Set-4

Using Python and R together

  • Accessing R from Python refer- http://www.bytemining.com/wp-content/uploads/2010/10/rpy2.pdf
  • Big Data with R and Python
  • Python for Data Analysis Refer- Python for Data Analysis by Wes McKinney
  • ( Python and R for Data Analysis)
  • RPy2 documentation-http://rpy.sourceforge.net/rpy2/doc-2.1/html/introduction.html
  • tutorial-http://files.meetup.com/1225993/Laurent%20Gautier_R_toPython_bridge_to_R.pdf#!

Set-5

  • Matlab and R Reference (http://mathesaurus.sourceforge.net/matlab-python-xref.pdf ) includes Python
  • Octave and R
  • package http://cran.r-project.org/web/packages/RcppOctave/vignettes/RcppOctave.pdf includes Matlab

-reference http://cran.r-project.org/doc/contrib/R-and-octave.txt

Set-6

  • Julia and python
  • Reference for Julia and IPython https://github.com/JuliaLang/IJulia.jl
  • PyPlot uses the Julia PyCall package to call Python’s matplotlib directly from Julia

Set-7

  • SPSS and Python

Set-8

  • SPSS and R is

Set-9

  • Using R from Clojure – Incanter
  • Refere-Use embedded R from Clojure and Incanter http://github.com/jolby/rincanter