Includes index.

Computers -- Mathematical statistics -- Data processing -- Statistical hypothesis testing -- Inferential statistics -- R (Computer program language) --Open source software --Programming languages --Statistical software --Statistical analysis --Regression analysis --Analysis of variance --Sampling (Statistics) -Confidence intervals --Correlation (Statistics) --Data structures (Computer science) --Data frames (Computer science) --Quantitative research --Normal distribution (Probability theory) --Central limit theorem -Probability theory --Standard deviation --Variance --Descriptive statistics --Data visualization --Computer programs --Software development --Systems analysis --Spreadsheets --CSV (File format) --Text files --Loop statements (Computer science) --Conditional statements (Computer science) --Numerical analysis --Vectors (Mathematics) --
Matrices -- Factors (Statistics) -- Lists (Data structures) -- Formulas (Mathematics) -- Statistical computing --
Mathematics -- Statistics -- Internet resources -- Online communities -- Technical manuals -- Documentation --Learning resources -- Software libraries

"Statistical Analysis with R Essentials For Dummies is your reference to all the core concepts about R--the widely used, open-source programming language and data analysis tool. This no-nonsense book gets right to the point, eliminating review material, wordy explanations, and fluff. Understand all you need to know about the foundations of R, swiftly and clearly. Perfect for a brush-up on the basics or as an everyday desk reference on the job, this is the reliable little book you can always turn to for answers. This book is to the point, focusing on the key topics readers need to know about this popular programming language. Great for supplementing classroom learning, reviewing for a certification, or staying knowledgeable on the job."