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R (+) for Data Science

R (+) for Data Science

Muhammad Aswan Syahputra

January 26, 2019
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  1. Founded by Ross Ihaka & Robert Gentleman High level language

    Interactive & Programming A swiss army knife for statistical tests and models, out-of-the box! Download R
  2. C Julia LuaJIT Rust Go Fortran Java JavaScript Matlab Mathematica

    Python R Octave iteration_pi_sum matrix_multiply matrix_statistics parse_integers print_to_file recursion_fibonacci recursion_quicksort userfunc_mandelbrot 10 0 10 1 10 2 10 3 10 4 Sumber: https://julialang.org/benchmarks/
  3. When R possess drawbacks but you can buy more RAM,

    work in Rstudio, and use Tidyverse approach
  4. Main features: • Console • Syntax-highlighting editor • Tools for

    plotting, history, debugging and workspace management Download RStudio
  5. Keep track of your code with Version Control System +

    https://git-scm.com/ https://github.com/
  6. R for Data Science (r4ds.had.co.nz) Introduction to Statistical Learning (www-bcf.usc.edu/~gareth/ISL/)

    Online books (bookdown.org) Online course (2 m.o access at DataCamp >> my.visualstudio.com) Need help? install.packages(“swirl”)