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