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Contents of Book

Introduction

Preface

• How this book is structured
• Focus on code
• Code samples

Chapter 1: Getting Started with R

• Installing R
• Installing RStudio
• The R console
• The Script window
• Comments
• Variables
• Packages
• R’s datasets package
• Entering data manually
• Importing data
• Converting tabular data to row data
• Color

Chapter 2: Charts for One Variable

• Bar charts for categorical variables
• Saving charts in R and RStudio
• Pie charts
• Histograms
• Boxplots

Chapter 3: Statistics for One Variable

• Frequencies
• Descriptive statistics
• Single proportion: Hypothesis test and confidence interval
• Single mean: Hypothesis test and confidence interval
• Chi-squared goodness-of-fit test

Chapter 4: Modifying Data

• Outliers
• Transformations
• Composite variables
• Missing data

Chapter 5: Working with the Data File

• Selecting cases
• Analyzing by subgroups
• Merging files

Chapter 6: Charts for Associations

• Grouped bar charts of frequencies
• Bar charts of group means
• Grouped boxplots
• Scatterplots

Chapter 7: Statistics for Associations

• Correlations
• Bivariate regression
• Two-sample t-test
• Paired t-test
• One-factor ANOVA
• Comparing proportions
• Crosstabulations

Chapter 8: Charts for Three or More Variables

• Clustered bar chart for means
• Scatterplots by groups
• Scatterplot matrices

Chapter 9: Statistics for Three or More Variables

• Multiple regression
• Two-factor ANOVA
• Cluster analysis
• Principal components/factor analysis

Book Description

Ever wanted to dip your toes into R but felt overwhelmed? R Succinctly by Syncfusion is here to make your journey easy and, dare I say, enjoyable. This book delivers a no-nonsense introduction to R programming, focusing on practical tips and clear explanations. It’s perfect for anyone who wants to start analyzing data without getting lost in complicated theories.

Book Overview

R is famous for its power in statistical computing and graphics. But let’s be honeststarting with a new programming language can be intimidating. That’s why this book keeps things short and sweet. You’ll learn the essentials of R, from basic syntax to working with real data sets. The best part? The examples are easy to follow, so you won’t get stuck scratching your head. If you’ve checked out other succinct guides like Objective-C Succinctly by Syncfusion, you’ll appreciate the same clear style here.

Why Read This Book

There’s a lot of hype around data science these days. But how do you cut through it and actually start doing something cool? This book gets straight to the point. You’ll pick up practical skills fastno fluff, no filler. Even if you’re not a math whiz or coding guru, you’ll find yourself making sense of data in no time. And hey, if you ever wanted to compare R with other tools, you might also enjoy exploring MongoDB Succinctly by Syncfusion for a database twist.

Who This Book Is For

If you’re a student tackling statistics, a professional exploring analytics, or just a curious mind craving new skillsthis book’s for you. You don’t need years of programming experience. All you need is curiosity and maybe a cup of coffee (or two). It’s also great for people who want to add R to their resume without slogging through hundreds of pages.

What You Will Learn

• The basics of R syntax and commands
• How to import and manipulate data sets
• Creating simple yet powerful visualizations
• Performing basic statistical analysis
• Troubleshooting common coding hiccups (because we all hit them!)
• Building confidence to explore more advanced topics on your own

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