R | Learning Objects and Learning Styles

As John Chambers, the creator of R once said: to understand computations in R, two slogans are helpful:

Everything that exists is an object.
Everything that happens is a function call.

Learn by the book:

Statistics and Computing, Peter Salgaard, 2002, Springer, first Edition

http://www.academia.dk/BiologiskAntropologi/Epidemiologi/PDF/Introductory_Statistics_with_R__2nd_ed.pdf

http://publicifsv.sund.ku.dk/~pd/ISwR-answers.pdf

Learn Online:

EDX: HarvardX: PH525.1x Statistics and R

KIx: KIexploRx Explore Statistics with R

http://swirlstats.com/

https://github.com/swirldev/swirl_courses

http://varianceexplained.org/RData/

http://www.ling.upenn.edu/~joseff/rstudy/index.html

http://www.statmethods.net/index.html

R statistical online learning references:

https://www.tutorialspoint.com/r/r_chi_square_tests.htm

http://www.r-tutor.com/

advanced: http://adv-r.had.co.nz/

Source:

https://www.r-project.org/

https://cran.r-project.org/doc/contrib/Short-refcard.pdf

http://ugrad.stat.ubc.ca/R/doc/html/index.html

More:

https://en.wikipedia.org/wiki/Probability_distribution

https://en.wikipedia.org/wiki/Exponential_family

https://www.google.pt/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&ved=0ahUKEwj_7d67ifHVAhVIzRQKHY7PA0EQFggoMAA&url=https%3A%2F%2Fwww.jstatsoft.org%2Farticle%2Fview%2Fv040i01%2Fv40i01.pdf&usg=AFQjCNHd-jbD4CmKgO9TS_CuwNMa0h7Dtw

http://andrewgelman.com/

http://blog.revolutionanalytics.com/

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Learning Objects and Learning Styles

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