Books

All statistical foundations you need to understand and use machine learning! It includes R/Pyhton software and Shiny dashboards to illustrate numerically the most important concepts.

Understanding the dynamics of populations is indispensable for conservation biologists. 'Using basic models in conservation biology' will help you to get a grasp of the fundamentals, and it will show you how to use and develop these aspects with the programming language R.

El complemento imprescindible del manual Fundamentos de R.

Este manual está dedicado íntegramente a los fundamentos de R y sólo a ellos. Se espera así complementar la formación de los científicos de datos, que disponen de cientos de manuales sobre análisis de datos con R pero apenas cuentan con manuales, completos, que fundamenten en detalle la herramienta a utilizar.

DataViz: How to Choose the Right Chart for Your Data is a short guide to all the different types of charts you’ll commonly encounter in statistics.It is a snappy little non-threatening book about everything you ever wanted to know about the craft of creating inspirational graphics for your study – irrespective of your audience.

The goal of this book is to get the reader up to speed with chart production with ggplot2. This book is the third in a series of books by the same author which deals with data visualization in R. Hope you enjoy it as we did writing it.

The goal of this book is to explore the nooks and crannies of chart production with the lattice package and is the second in a series of books on data visualization with R. Enjoy !!!

If there is one thing R is famous and known about, is its graphics capabilities. There are many packages out there for producing plots in R, top amongst which is the base graphics package which comes with R preinstalled.  The goal of this book is to explore chart production with base graphics in depth.

Interested in launching a personal website, blog, or project portfolio? Take this opportunity to learn the step-by-step process to create, design, publish, and analyze your website using R and many other open source technologies.

Although this book is not a comprehensive text that covers every single aspect about creating R packages, I’ve written it in the spirit of an extended tutorial or guide document with a relatively simple working example.

This book aims to help you get started with handling strings in R. It provides an overview of several resources that you can use for string manipulation. It covers useful functions in packages "base" and "stringr", printing and formatting characters, regular expressions, and other tricks.

Data wrangling is one of the most important steps in data science and analytics, for it is claimed that it takes between 80% to 90% of an analyst’s time. Data wrangling goes by many names including data munging, data manipulation, data preparation and data transformations. This book is all about data wrangling and exploration with R.

Develop insights from data with tidy tools. Import, wrangle, visualize, and model data with the Tidyverse R packages.

Learn how to leverage the power of machine learning and deep learning to analyze behavioral patterns from sensors data and electronic records. This book shows you how to explore, preprocess, encode, and visualize your data. Learn introductory machine learning concepts and how to train supervised and unsupervised models using R.

This book takes you step by step through the process of preparing the data and producing multivariate analysis on it with R.