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Análisis cuantitativo con R : matemáticas, estadística y econometría / / Daniel Liviano and María Pujol
| Análisis cuantitativo con R : matemáticas, estadística y econometría / / Daniel Liviano and María Pujol |
| Autore | Liviano Solís Daniel |
| Pubbl/distr/stampa | Barcelona : , : Editorial UOC, , [2017] |
| Descrizione fisica | 1 online resource (239 páginas) : ilustraciones |
| Disciplina | 005.13 |
| Collana | Manuales |
| Soggetto topico |
Programming languages (Electronic computers)
R (Computer program language) Statistics - Data processing |
| ISBN | 84-9116-804-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | spa |
| Record Nr. | UNINA-9910795464903321 |
Liviano Solís Daniel
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| Barcelona : , : Editorial UOC, , [2017] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Análisis cuantitativo con R : matemáticas, estadística y econometría / / Daniel Liviano and María Pujol
| Análisis cuantitativo con R : matemáticas, estadística y econometría / / Daniel Liviano and María Pujol |
| Autore | Liviano Solís Daniel |
| Pubbl/distr/stampa | Barcelona : , : Editorial UOC, , [2017] |
| Descrizione fisica | 1 online resource (239 páginas) : ilustraciones |
| Disciplina | 005.13 |
| Collana | Manuales |
| Soggetto topico |
Programming languages (Electronic computers)
R (Computer program language) Statistics - Data processing |
| ISBN | 84-9116-804-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | spa |
| Record Nr. | UNINA-9910807401903321 |
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Liviano Solís Daniel
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| Barcelona : , : Editorial UOC, , [2017] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Applications, basics, and computing of exploratory data analysis / / Paul F. Velleman, David C. Hoaglin
| Applications, basics, and computing of exploratory data analysis / / Paul F. Velleman, David C. Hoaglin |
| Autore | Velleman Paul F. <1949-> |
| Pubbl/distr/stampa | Ithaca, N.Y. : The Internet-First University Press, [2004] |
| Disciplina | 001.4/225/02854 |
| Altri autori (Persone) | VellemanPaul F |
| Soggetto topico |
Statistics - Data processing
Mathematical statistics - Data processing |
| ISBN | 0-87150-409-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910220513603321 |
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Velleman Paul F. <1949->
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| Ithaca, N.Y. : The Internet-First University Press, [2004] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Applications, basics, and computing of exploratory data analysis / / Paul F. Velleman, David C. Hoaglin
| Applications, basics, and computing of exploratory data analysis / / Paul F. Velleman, David C. Hoaglin |
| Autore | Velleman Paul F. <1949-> |
| Pubbl/distr/stampa | Ithaca, N.Y. : The Internet-First University Press, [2004] |
| Disciplina | 001.4/225/02854 |
| Altri autori (Persone) | VellemanPaul F |
| Soggetto topico |
Statistics - Data processing
Mathematical statistics - Data processing |
| ISBN | 0-87150-409-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996320164903316 |
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Velleman Paul F. <1949->
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| Ithaca, N.Y. : The Internet-First University Press, [2004] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Applied multivariate statistical analysis and related topics with R / / Lang WU, Jin QIU
| Applied multivariate statistical analysis and related topics with R / / Lang WU, Jin QIU |
| Autore | Wu Lang <1963-> |
| Pubbl/distr/stampa | Les Ulis, France : , : EDP Sciences, , [2021] |
| Descrizione fisica | 1 online resource (236 p.) |
| Disciplina | 005.133 |
| Collana | Current Natural Sciences |
| Soggetto topico |
R (Computer program language)
Statistics - Data processing |
| ISBN | 2-7598-2602-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- Preface -- Contents -- Chapter 1 Introduction -- Chapter 2 Principal Components Analysis -- Chapter 3 Factor Analysis -- Chapter 4 Discriminant Analysis and Cluster Analysis -- Chapter 5 Inference for a Multivariate Normal Population -- Chapter 6 Discrete or Categorical Multivariate Data -- Chapter 7 Copula Models -- Chapter 8 Linear and Nonlinear Regression Models -- Chapter 9 Generalized Linear Models -- Chapter 10 Multivariate Regression and MANOVA Models -- Chapter 11 Longitudinal Data, Panel Data, and Repeated Measurements -- Chapter 12 Methods for Missing Data -- Chapter 13 Robust Multivariate Analysis -- Chapter 14 Selected Topics -- References |
| Record Nr. | UNINA-9910554232003321 |
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Wu Lang <1963->
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| Les Ulis, France : , : EDP Sciences, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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The art of R programming [[electronic resource] ] : a tour of statistical software design / / by Norman Matloff
| The art of R programming [[electronic resource] ] : a tour of statistical software design / / by Norman Matloff |
| Autore | Matloff Norman S |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | San Francisco, : No Starch Press, 2011 |
| Descrizione fisica | 1 online resource (404 p.) |
| Disciplina | 519.50285/5133 |
| Soggetto topico |
Statistics - Data processing
R (Computer program language) |
| Soggetto genere / forma | Electronic books. |
| ISBN | 1-59327-410-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
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
2.8 Filtering2.9 A Vectorized if-then-else: The ifelse() Function; 2.10 Testing Vector Equality; 2.11 Vector Element Names; 2.12 More on c(); 3: Matrices and Arrays; 3.1 Creating Matrices; 3.2 General Matrix Operations; 3.3 Applying Functions to Matrix Rows and Columns; 3.4 Adding and Deleting Matrix Rows and Columns; 3.5 More on the Vector/Matrix Distinction; 3.6 Avoiding Unintended Dimension Reduction; 3.7 Naming Matrix Rows and Columns; 3.8 Higher-Dimensional Arrays; 4: Lists; 4.1 Creating Lists; 4.2 General List Operations; 4.3 Accessing List Components and Values 4.4 Applying Functions to Lists4.5 Recursive Lists; 5: Data Frames; 5.1 Creating Data Frames; 5.2 Other Matrix-Like Operations; 5.3 Merging Data Frames; 5.4 Applying Functions to Data Frames; 6: Factors and Tables; 6.1 Factors and Levels; 6.2 Common Functions Used with Factors; 6.3 Working with Tables; 6.4 Other Factor- and Table-Related Functions; 7: R Programming Structures; 7.1 Control Statements; 7.2 Arithmetic and Boolean Operators and Values; 7.3 Default Values for Arguments; 7.4 Return Values; 7.5 Functions Are Objects; 7.6 Environment and Scope Issues; 7.7 No Pointers in R 7.8 Writing Upstairs7.9 Recursion; 7.10 Replacement Functions; 7.11 Tools for Composing Function Code; 7.12 Writing Your Own Binary Operations; 7.13 Anonymous Functions; 8: Doing Math and Simulations in R; 8.1 Math Functions; 8.2 Functions for Statistical Distributions; 8.3 Sorting; 8.4 Linear Algebra Operations on Vectors and Matrices; 8.5 Set Operations; 8.6 Simulation Programming in R; 9: Object-Oriented Programming; 9.1 S3 Classes; 9.2 S4 Classes; 9.3 S3 Versus S4; 9.4 Managing Your Objects; 10: Input/Output; 10.1 Accessing the Keyboard and Monitor; 10.2 Reading and Writing Files 10.3 Accessing the Internet11: String Manipulation; 11.1 An Overview of String-Manipulation Functions; 11.2 Regular Expressions; 11.3 Use of String Utilities in the edtdbg Debugging Tool; 12: Graphics; 12.1 Creating Graphs; 12.2 Customizing Graphs; 12.3 Saving Graphs to Files; 12.4 Creating Three-Dimensional Plots; 13: Debugging; 13.1 Fundamental Principles of Debugging; 13.2 Why Use a Debugging Tool?; 13.3 Using R Debugging Facilities; 13.4 Moving Up in the World: More Convenient DebuggingTools; 13.5 Ensuring Consistency in Debugging Simulation Code; 13.6 Syntax and Runtime Errors 13.7 Running GDB on R Itself |
| Record Nr. | UNINA-9910461836203321 |
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Matloff Norman S
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| San Francisco, : No Starch Press, 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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The art of R programming [[electronic resource] ] : a tour of statistical software design / / by Norman Matloff
| The art of R programming [[electronic resource] ] : a tour of statistical software design / / by Norman Matloff |
| Autore | Matloff Norman S |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | San Francisco, : No Starch Press, 2011 |
| Descrizione fisica | 1 online resource (404 p.) |
| Disciplina | 519.50285/5133 |
| Soggetto topico |
Statistics - Data processing
R (Computer program language) |
| ISBN | 1-59327-410-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
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
2.8 Filtering2.9 A Vectorized if-then-else: The ifelse() Function; 2.10 Testing Vector Equality; 2.11 Vector Element Names; 2.12 More on c(); 3: Matrices and Arrays; 3.1 Creating Matrices; 3.2 General Matrix Operations; 3.3 Applying Functions to Matrix Rows and Columns; 3.4 Adding and Deleting Matrix Rows and Columns; 3.5 More on the Vector/Matrix Distinction; 3.6 Avoiding Unintended Dimension Reduction; 3.7 Naming Matrix Rows and Columns; 3.8 Higher-Dimensional Arrays; 4: Lists; 4.1 Creating Lists; 4.2 General List Operations; 4.3 Accessing List Components and Values 4.4 Applying Functions to Lists4.5 Recursive Lists; 5: Data Frames; 5.1 Creating Data Frames; 5.2 Other Matrix-Like Operations; 5.3 Merging Data Frames; 5.4 Applying Functions to Data Frames; 6: Factors and Tables; 6.1 Factors and Levels; 6.2 Common Functions Used with Factors; 6.3 Working with Tables; 6.4 Other Factor- and Table-Related Functions; 7: R Programming Structures; 7.1 Control Statements; 7.2 Arithmetic and Boolean Operators and Values; 7.3 Default Values for Arguments; 7.4 Return Values; 7.5 Functions Are Objects; 7.6 Environment and Scope Issues; 7.7 No Pointers in R 7.8 Writing Upstairs7.9 Recursion; 7.10 Replacement Functions; 7.11 Tools for Composing Function Code; 7.12 Writing Your Own Binary Operations; 7.13 Anonymous Functions; 8: Doing Math and Simulations in R; 8.1 Math Functions; 8.2 Functions for Statistical Distributions; 8.3 Sorting; 8.4 Linear Algebra Operations on Vectors and Matrices; 8.5 Set Operations; 8.6 Simulation Programming in R; 9: Object-Oriented Programming; 9.1 S3 Classes; 9.2 S4 Classes; 9.3 S3 Versus S4; 9.4 Managing Your Objects; 10: Input/Output; 10.1 Accessing the Keyboard and Monitor; 10.2 Reading and Writing Files 10.3 Accessing the Internet11: String Manipulation; 11.1 An Overview of String-Manipulation Functions; 11.2 Regular Expressions; 11.3 Use of String Utilities in the edtdbg Debugging Tool; 12: Graphics; 12.1 Creating Graphs; 12.2 Customizing Graphs; 12.3 Saving Graphs to Files; 12.4 Creating Three-Dimensional Plots; 13: Debugging; 13.1 Fundamental Principles of Debugging; 13.2 Why Use a Debugging Tool?; 13.3 Using R Debugging Facilities; 13.4 Moving Up in the World: More Convenient DebuggingTools; 13.5 Ensuring Consistency in Debugging Simulation Code; 13.6 Syntax and Runtime Errors 13.7 Running GDB on R Itself |
| Record Nr. | UNINA-9910789721903321 |
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Matloff Norman S
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| San Francisco, : No Starch Press, 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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The art of R programming : a tour of statistical software design / / by Norman Matloff
| The art of R programming : a tour of statistical software design / / by Norman Matloff |
| Autore | Matloff Norman S |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | San Francisco, : No Starch Press, 2011 |
| Descrizione fisica | 1 online resource (404 p.) |
| Disciplina | 519.50285/5133 |
| Soggetto topico |
Statistics - Data processing
R (Computer program language) |
| ISBN |
9781593274108
1593274106 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
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
2.8 Filtering2.9 A Vectorized if-then-else: The ifelse() Function; 2.10 Testing Vector Equality; 2.11 Vector Element Names; 2.12 More on c(); 3: Matrices and Arrays; 3.1 Creating Matrices; 3.2 General Matrix Operations; 3.3 Applying Functions to Matrix Rows and Columns; 3.4 Adding and Deleting Matrix Rows and Columns; 3.5 More on the Vector/Matrix Distinction; 3.6 Avoiding Unintended Dimension Reduction; 3.7 Naming Matrix Rows and Columns; 3.8 Higher-Dimensional Arrays; 4: Lists; 4.1 Creating Lists; 4.2 General List Operations; 4.3 Accessing List Components and Values 4.4 Applying Functions to Lists4.5 Recursive Lists; 5: Data Frames; 5.1 Creating Data Frames; 5.2 Other Matrix-Like Operations; 5.3 Merging Data Frames; 5.4 Applying Functions to Data Frames; 6: Factors and Tables; 6.1 Factors and Levels; 6.2 Common Functions Used with Factors; 6.3 Working with Tables; 6.4 Other Factor- and Table-Related Functions; 7: R Programming Structures; 7.1 Control Statements; 7.2 Arithmetic and Boolean Operators and Values; 7.3 Default Values for Arguments; 7.4 Return Values; 7.5 Functions Are Objects; 7.6 Environment and Scope Issues; 7.7 No Pointers in R 7.8 Writing Upstairs7.9 Recursion; 7.10 Replacement Functions; 7.11 Tools for Composing Function Code; 7.12 Writing Your Own Binary Operations; 7.13 Anonymous Functions; 8: Doing Math and Simulations in R; 8.1 Math Functions; 8.2 Functions for Statistical Distributions; 8.3 Sorting; 8.4 Linear Algebra Operations on Vectors and Matrices; 8.5 Set Operations; 8.6 Simulation Programming in R; 9: Object-Oriented Programming; 9.1 S3 Classes; 9.2 S4 Classes; 9.3 S3 Versus S4; 9.4 Managing Your Objects; 10: Input/Output; 10.1 Accessing the Keyboard and Monitor; 10.2 Reading and Writing Files 10.3 Accessing the Internet11: String Manipulation; 11.1 An Overview of String-Manipulation Functions; 11.2 Regular Expressions; 11.3 Use of String Utilities in the edtdbg Debugging Tool; 12: Graphics; 12.1 Creating Graphs; 12.2 Customizing Graphs; 12.3 Saving Graphs to Files; 12.4 Creating Three-Dimensional Plots; 13: Debugging; 13.1 Fundamental Principles of Debugging; 13.2 Why Use a Debugging Tool?; 13.3 Using R Debugging Facilities; 13.4 Moving Up in the World: More Convenient DebuggingTools; 13.5 Ensuring Consistency in Debugging Simulation Code; 13.6 Syntax and Runtime Errors 13.7 Running GDB on R Itself |
| Record Nr. | UNINA-9910820867703321 |
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Matloff Norman S
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| San Francisco, : No Starch Press, 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Beginning data science in R 4 : data analysis, visualization, and modelling for the data scientist / / Thomas Mailund
| Beginning data science in R 4 : data analysis, visualization, and modelling for the data scientist / / Thomas Mailund |
| Autore | Mailund Thomas |
| Edizione | [Second edition.] |
| Pubbl/distr/stampa | New York, NY : , : Apress Media, LLC, , [2022] |
| Descrizione fisica | 1 online resource (528 pages) : illustrations |
| Disciplina | 519.502855133 |
| Soggetto topico |
R (Computer program language)
Statistics - Data processing |
| ISBN | 1-4842-8155-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1: Introduction 2: Introduction to R Programming 3: Reproducible Analysis 4: Data Manipulation 5: Visualizing Data 6: Working with Large Data Sets 7: Supervised Learning 8: Unsupervised Learning 9: Project 1: Hitting the Bottle 10: Deeper into R Programming 11: Working with Vectors and Lists 12: Functional Programming 13: Object-Oriented Programming 14: Building an R Package 15: Testing and Package Checking 16: Version Control 17: Profiling and Optimizing 18: Project 2: Bayesian Linear Progression 19: Conclusions |
| Record Nr. | UNINA-9910580163903321 |
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Mailund Thomas
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| New York, NY : , : Apress Media, LLC, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Beginning R : the statistical programming language / / Mark Gardener
| Beginning R : the statistical programming language / / Mark Gardener |
| Autore | Gardener Mark |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Indianapolis, : John Wiley & Sons, 2012 |
| Descrizione fisica | 1 online resource (507 p.) |
| Disciplina | 519.50285536 |
| Collana | Wrox programmer to programmer |
| Soggetto topico |
R (Computer program language)
Statistics - Data processing |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-280-68463-1
9786613661579 1-118-22616-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Beginning R; Contents; Introduction; Who This Book Is For; What This Book Covers; How This Book Is Structured; What You Need to Use This Book; Conventions; Source Code; Errata; p2p.wrox.com; Chapter 1: Introducing R: What It Is and How to Get It; Getting the Hang of R; Running the R Program; Finding Your Way with R; Command Packages; Summary; Chapter 2: Starting Out: Becoming Familiar with R; Some Simple Math; Reading and Getting Data into R; Viewing Named Objects; Types of Data Items; The Structure of Data Items; Examining Data Structure; Working with History Commands; Saving Your Work in R
SummaryChapter 3: Starting Out: Working; Manipulating Objects; Viewing Objects within Objects; Constructing Data Objects; Forms of Data Objects: Testing and Converting; Summary; Chapter 4: Data: Descriptive Statistics and Tabulation; Summary Commands; Summarizing Samples; Summary Tables; Summary; Chapter 5: Data: Distribution; Looking at the Distribution of Data; Summary; Chapter 6: Simple Hypothesis Testing; Using the Student's t-test; The Wilcoxon U-Test (Mann-Whitney); Paired t- and U-Tests; Correlation and Covariance; Tests for Association; Summary Chapter 7: Introduction to Graphical AnalysisBox-whisker Plots; Scatter Plots; Pairs Plots (Multiple Correlation Plots); Line Charts; Pie Charts; Cleveland Dot Charts; Bar Charts; Copy Graphics to Other Applications; Summary; Chapter 8: Formula Notation and Complex Statistics; Examples of Using Formula Syntax for Basic Tests; Formula Notation in Graphics; Analysis of Variance (ANOVA); Summary; Chapter 9: Manipulating Data and Extracting Components; Creating Data for Complex Analysis; Summarizing Data; Summary; Chapter 10: Regression (Linear Modeling); Simple Linear Regression Multiple RegressionCurvilinear Regression; Plotting Linear Models and Curve Fitting; Summarizing Regression Models; Summary; Chapter 11: More About Graphs; Adding Elements to Existing Plots; Matrix Plots (Multiple Series on One Graph); Multiple Plots in One Window; Exporting Graphs; Summary; Chapter 12: Writing Your Own Scripts: Beginning to Program; Copy and Paste Scripts; Creating Simple Functions; Making Source Code; Summary; Appendix: Answers to Exercises; Chapter 1; Chapter 2; Chapter 3; Chapter 4; Chapter 5; Chapter 6; Chapter 7; Chapter 8; Chapter 9; Chapter 10; Chapter 11; Chapter 12 IndexAdvertisement |
| Record Nr. | UNINA-9910452031103321 |
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Gardener Mark
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| Indianapolis, : John Wiley & Sons, 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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