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R Statistics Cookbook

You're reading from  R Statistics Cookbook

Product type Book
Published in Mar 2019
Publisher Packt
ISBN-13 9781789802566
Pages 448 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Francisco Juretig Francisco Juretig
Profile icon Francisco Juretig

Table of Contents (12) Chapters

Preface Getting Started with R and Statistics Univariate and Multivariate Tests for Equality of Means Linear Regression Bayesian Regression Nonparametric Methods Robust Methods Time Series Analysis Mixed Effects Models Predictive Models Using the Caret Package Bayesian Networks and Hidden Markov Models Other Books You May Enjoy

Introduction

In this chapter, we will introduce a wide array of topics regarding statistics and data analysis in R. We will use quite a diverse set of packages, most of which have been released over recent years.

We'll start by generating random numbers, fitting distributions to data, and using several packages to plot data. We will then move onto sampling, creating diagrams with the DiagrammeR package, and analyzing sequence data with the TraMineR package. We also present several techniques, not strictly related to statistics, but important for dealing with advanced methods in R—we introduce the Rcpp package (used for embedding highly efficient C++ code into your R scripts) and the R6 package (used for operating with R6 classes, allowing you to code using an object-oriented approach in R).

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R Statistics Cookbook
Published in: Mar 2019 Publisher: Packt ISBN-13: 9781789802566
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