R Statistics Cookbook
With this book, you will learn to execute a series of intermediate to advanced statistical tasks as you walk through each chapter. You will not only get well versed with the traditional statistics but you will also cover the necessary statistics required for machine learning and deep learning concepts.
Offered by
Difficulty Level
Intermediate
Completion Time
14h56m
Language
English
About Book
Who Is This Book For?
If you are a quantitative researcher, statistician, data analyst, or data scientist looking to tackle various challenges in statistics, this book is what you need! Proficiency in R programming and basic knowledge of linear algebra is necessary to follow along the recipes covered in this book.
R Statistics Cookbook
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 14h56m total length
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
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