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Category: "R"

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  1. This book teaches the fundamental concepts and tools behind reporting modern data analyses in a reproducible manner. As data analyses become increasingly complex, the need for clear and reproducible report writing is greater than ever. The material for this book was developed as part of the industry-leading Johns Hopkins Data Science Specialization. Printed versions are available through Lulu (see link below).

  2. Introduction to Econometric Production Analysis with R
    Seventh Draft Version
    Arne Henningsen

    This book gives an introduction to several aspects of econometric production analysis. It provides many practical examples using the R statistical software.

  3. Wrangling F1 Data With R
    A Data Junkie's Guide
    Tony Hirst

    The data's out there, but what can we do with it? As the ultimate chaser of technological innovation, Formula One motor sport is still outpaced by baseball and cricket in the stats fans stakes. But no more: it's time for the F1 data junkies to fight back...

  4. Practical Machine Learning in R
    Kyriakos Chatzidimitriou, Michail Papamichail, Themistoklis Diamantopoulos, Andreas Symeonidis, and Thomas Karanikiotis

    Do you want to start using R for crunching machine learning models right from the start with examples? Then this book is for you.