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R: Data Analysis and Visualization by Ágnes Vidovics-Dancs, Kata Váradi, Tamás Vadász, Ágnes Tuza, Balázs Árpád Szucs, Julia Molnár, Péter Medvegyev, Balázs Márkus, István Margitai, Péter Juhász, Dániel Havran, Gergely Gabler, Barbara Dömötör, Gergely Daróczi, Ádám Banai, Milán Badics, Ferenc Illés, Edina Berlinger, Bater Makhabel, Hrishi V. Mittal, Jaynal Abedin, Brett Lantz, Tony Fischetti

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Using Rcpp

Contrary to what I sometimes like to believe, there are other computer programming languages than just R. R—and languages like Python, Perl, and Ruby—are considered high-level languages, because they offer a greater level of abstraction from computer representations and resource management than the lower-level languages. For example, in some lower level languages, you must specify the data type of the variables you create and manage the allocation of RAM manually—C, C++, and Fortran are of this type.

The high level of abstraction R provides allows us to do amazing things very quickly—like import a data set, run a linear model, and plot the data and regression line in no more than 4 lines of code! On the other hand, nothing quite beats ...

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