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Key benefits

Learn how to apply statistical methods to your everyday research with handy recipes

Foster your analytical skills and interpret research across industries and business verticals

Perform t-tests, chi-squared tests, and regression analysis using modern statistical techniques

Description

R is a popular programming language for developing statistical software. This book will be a useful guide to solving common and not-so-common challenges in statistics. With this book, you'll be equipped to confidently perform essential statistical procedures across your organization with the help of cutting-edge statistical tools. You'll start by implementing data modeling, data analysis, and machine learning to solve real-world problems. You'll then understand how to work with nonparametric methods, mixed effects models, and hidden Markov models. This book contains recipes that will guide you in performing univariate and multivariate hypothesis tests, several regression techniques, and using robust techniques to minimize the impact of outliers in data.You'll also learn how to use the caret package for performing machine learning in R. Furthermore, this book will help you understand how to interpret charts and plots to get insights for better decision making. By the end of this book, you will be able to apply your skills to statistical computations using R 3.5. You will also become well-versed with a wide array of statistical techniques in R that are extensively used in the data science industry.

What you will learn

Become well versed with recipes that will help you interpret plots with R

Formulate advanced statistical models in R to understand its concepts

Perform Bayesian regression to predict models and input missing data

Use time series analysis for modelling and forecasting temporal data

Implement a range of regression techniques for efficient data modelling

Get to grips with robust statistics and hidden Markov models

Explore ANOVA (Analysis of Variance) and perform hypothesis testing

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Frequently bought together

$26.99

Machine Learning with R Quick Start Guide

$32.99

$43.99

Total $ 103.97

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Leo Jul 02, 2023

Lots of examples provided.

Amazon Verified review

mark david walker Nov 04, 2020

A good guide to a range of statistical techniques in R. Recommend for someone wishing to deepen an introductory knowledge of R.

Amazon Customer May 06, 2019

understanding R with the help of algorithms

Neha Oct 16, 2023

Book is nice

Subscriber review

Papu Siameja Feb 06, 2024

I haven't been able to download and read a pdf copy of this book. I sent a message about this at the time of purchase but have not received a response. That is a disappointing. The one star is for the disappointing customer service, rather than the content of the book.

Feefo Verified review

R Statistics Cookbook: Over 100 recipes for performing complex statistical operations with R 3.5

What do you get with eBook?