Tabla de Contenidos: “…Brief Contents; Contents in Detail; Acknowledgments; Introduction; Why Use R for Your Statistical Work?; Whom Is This Book For?; My Own Background; 1: Getting Started; 1.1 How to Run R; 1.2 A First R Session; 1.3 Introduction to Functions; 1.4 Preview of Some Important R Data Structures; 1.5 Extended Example: Regression Analysis of Exam Grades; 1.6 Startup and Shutdown; 1.7 Getting Help; 2: Vectors; 2.1 Scalars, Vectors, Arrays, and Matrices; 2.2 Declarations; 2.3 Recycling; 2.4 Common Vector Operations; 2.5 Using all() and any(); 2.6 Vectorized Operations; 2.7 NA and NULL Values…”

Materias:

Materias:

Materias: “…Capital market Statistics…”

Tabla de Contenidos: “…Cover; Dedication; Contents; Preface; Acknowledgments; Authors; Co-Authors; Part I: Data Manipulation and Modeling; 1: Predicting Location via Indoor Positioning Systems; 2: Modeling Runners' Times in the Cherry Blossom Race; 3: Using Statistics to Identify Spam; 4: Processing Robot and Sensor Log Files: Seeking a Circular Target; 5: Strategies for Analyzing a 12-Gigabyte Data Set: Airline Flight Delays; Part II: Simulation Studies; 6: Pairs Trading; 7: Simulation Study of a Branching Process; 8: A Self-Organizing Dynamic System with a Phase Transition; 9: Simulating Blackjack…”

Materias:

Materias: “…Smoothing (Statistics)…”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright -- Credits -- About the Author -- About the Reviewer -- www.PacktPub.com -- Customer Feedback -- Table of Contents -- Preface -- Chapter 1: Introduction to R -- What R is and what it isn't -- The inspiration for R - the S language -- R is a high quality statistical computing system -- R is a flexible programming language -- R is free, as in freedom and as in free beer -- What R is not good for -- Comparing R with other software -- The interpreter and the console -- Tools to work efficiently with R -- Pick an IDE or a powerful editor -- The send to console functionality -- The efficient write-execute loop -- Executing R code in non-interactive sessions -- How to use this book -- Tracking state with symbols and variables -- Working with data types and data structures -- Numerics -- Special values -- Characters -- Logicals -- Vectors -- Factors -- Matrices -- Lists -- Data frames -- Divide and conquer with functions -- Optional arguments -- Functions as arguments -- Operators are functions -- Coercion -- Complex logic with control structures -- If... else conditionals -- For loops -- While loops -- The examples in this book -- Summary -- Chapter 2: Understanding Votes with Descriptive Statistics -- This chapter's required packages -- The Brexit votes example -- Cleaning and setting up the data -- Summarizing the data into a data frame -- Getting intuition with graphs and correlations -- Visualizing variable distributions -- Using matrix scatter plots for a quick overview -- Getting a better look with detailed scatter plots -- Understanding interactions with correlations -- Creating a new dataset with what we've learned -- Building new variables with principal components -- Putting it all together into high-quality code -- Planning before programming -- Understanding the fundamentals of high-quality code…”

Materias:

Materias: “…Statistics Data processing…”

Materias:

Materias: “…Missing observations (Statistics)…”

Materias:

Materias: “…Measurement uncertainty (Statistics)…”

Materias: “…Equality Estonia Statistics…”

Materias:

Materias:

Materias:

Materias: “…Economic assistance Latin America Statistics Periodicals…”

Materias: