Autore	Whitmore Nathan
Pubbl/distr/stampa	Boca Raton, FL ; ; London ; ; New York : , : CRC Press, Taylor & Francis Group, , 2021
Descrizione fisica	1 online resource (391 pages)
Disciplina	519.502855133
Collana	Chapman & Hall the R series
Soggetto topico	R (Computer program language) Mathematical statistics - Data processing Conservation projects (Natural resources) - Data processing
ISBN	0-429-26218-3 0-429-55725-6 0-429-55278-5
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Record Nr.	UNINA-9910794233903321

Autore	Toomey Dan
Pubbl/distr/stampa	Birmingham, England : , : Packt Publishing, , 2014
Descrizione fisica	1 online resource (364 p.)
Disciplina	519.502855133
Collana	Community Experience Distilled
Soggetto topico	R (Computer program language) Mathematical statistics - Data processing
Soggetto genere / forma	Electronic books.
ISBN	1-78439-265-0
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Data Mining Patterns; Cluster analysis; K-means clustering; Usage; Example; K-medoids clustering; Usage; Example; Hierarchical clustering; Usage; Example; Expectation-maximization; Usage; List of model names; Example; Density estimation; Usage; Example; Anomaly detection; Show outliers; Example; Example; Another anomaly detection example; Calculating anomalies; Usage; Example 1; Example 2; Association rules; Mine for associations; Usage; Example; Questions; Summary Chapter 2: Data Mining SequencesPatterns; Eclat; Usage; Using eclat to find similarities in adult behavior; Finding frequent items in a dataset; An example focusing on highest frequency; arulesNBMiner; Usage; Mining the Agrawal data for frequent sets; Apriori; Usage; Evaluating associations in a shopping basket; Determining sequences using TraMineR; Usage; Determining sequences in training and careers; Similarities in the sequence; Sequence metrics; Usage; Example; Questions; Summary; Chapter 3: Text Mining; Packages; Text processing; Example; Creating a corpus; Text clusters; Word graphics Analyzing the XML textQuestions; Summary; Chapter 4: Data Analysis - Regression Analysis; Packages; Simple regression; Multiple regression; Multivariate regression analysis; Robust regression; Questions; Summary; Chapter 5: Data Analysis - Correlation; Packages; Correlation; Example; Visualizing correlations; Covariance; Pearson correlation; Polychoric correlation; Tetrachoric correlation; A heterogeneous correlation matrix; Partial correlation; Questions; Summary; Chapter 6: Data Analysis - Clustering; Packages; K-means clustering; Example; Optimal number of clusters; Medoids clusters The cascadeKM functionSelecting clusters based on Bayesian information; Affinity propagation clustering; Gap statistic to estimate the number of clusters; Hierarchical clustering; Questions; Summary; Chapter 7: Data Visualization - R Graphics; Packages; Interactive graphics; The latticist package; Bivariate binning display; Mapping; Plotting points on a map; Plotting points on a world map; Google Maps; The ggplot2 package; Questions; Summary; Chapter 8: Data Visualization - Plotting; Packages; Scatter plots; Regression line; A lowess line; scatterplot; Scatterplot matrices splom - display matrix datacpairs - plot matrix data; Density scatter plots; Bar charts and plots; Bar plot; Usage; Bar chart; ggplot2; Word cloud; Questions; Summary; Chapter 9: Data Visualization - 3D; Packages; Generating 3D graphics; Lattice Cloud - 3D scatterplot; scatterplot3d; scatter3d; cloud3d; RgoogleMaps; vrmlgenbar3D; Big Data; pbdR; bigmemory; Research areas; Rcpp; parallel; microbenchmark; pqR; SAP integration; roxygen2; bioconductor; swirl; pipes; Questions; Summary; Chapter 10: Machine Learning in Action; Packages; Dataset; Data partitioning; Model; Linear model; Prediction Logistic regression
Record Nr.	UNINA-9910464122103321

Autore	De Vries Andrie
Edizione	[Second edition.]
Pubbl/distr/stampa	Hoboken, New Jersey : , : John Wiley & Sons, Inc., , 2015
Descrizione fisica	1 online resource (435 p.)
Disciplina	519.502855133
Collana	For Dummies
Soggetto topico	R (Computer program language)
Soggetto genere / forma	Electronic books.
ISBN	1-119-05585-7 1-119-05583-0
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Title Page; Copyright Page; Table of Contents; Introduction; About This Book; Changes in the Second Edition; Conventions Used in This Book; What You're Not to Read; Foolish Assumptions; How This Book Is Organized; Part I: Getting Started with R Programming; Part II: Getting Down to Work in R; Part III: Coding in R; Part IV: Making the Data Talk; Part V: Working with Graphics; Part VI: The Part of Tens; Icons Used in This Book; Beyond the Book; Where to Go from Here; Part I Getting Started with R Programming; Chapter 1 Introducing R: The Big Picture; Recognizing the Benefits of Using R Navigating the Environment Manipulating the content of the environment; Saving your work; Retrieving your work; Chapter 3 The Fundamentals of R; Using the Full Power of Functions; Vectorizing your functions; Putting the argument in a function; Making history; Keeping Your Code Readable; Following naming conventions; Structuring your code; Adding comments; Getting from Base R to More; Finding packages; Installing packages; Loading and unloading packages; Part II Getting Down to Work in R; Chapter 4 Getting Started with Arithmetic; Working with Numbers, Infinity, and Missing Values Doing basic arithmetic Using mathematical functions; Calculating whole vectors; To infinity and beyond; Organizing Data in Vectors; Discovering the properties of vectors; Creating vectors; Combining vectors; Repeating vectors; Getting Values in and out of Vectors; Understanding indexing in R; Extracting values from a vector; Changing values in a vector; Working with Logical Vectors; Comparing values; Using logical vectors as indices; Combining logical statements; Summarizing logical vectors; Powering Up Your Math; Using arithmetic vector operations; Recycling arguments Chapter 5 Getting Started with Reading and Writin Using Character Vectors for Text Data; Assigning a value to a character vector; Creating a character vector with more than one element; Extracting a subset of a vector; Naming the values in your vectors; Manipulating Text; String theory: Combining and splitting strings; Sorting text; Finding text inside text; Substituting text; Revving up with regular expressions; Factoring in Factors; Creating a factor; Converting a factor; Looking at levels; Distinguishing data types; Working with ordered factors; Chapter 6 Going on a Date with R Working with Dates
Record Nr.	UNINA-9910460997603321

Autore	Lander, Jared P.
Pubbl/distr/stampa	Upper Saddle River : Addison Wesley, 2013
Descrizione fisica	XXI, 432 p. : ill. ; 23 cm
Disciplina	519.502855133
Collana	The Addison-Wesley data and analytics series
Soggetto non controllato	R
ISBN	978-0-321-88803-7
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Record Nr.	UNINA-990009978430403321

Autore	Chapman Chris
Edizione	[2nd ed. 2019.]
Pubbl/distr/stampa	Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica	1 online resource (492 pages)
Disciplina	519.502855133
Collana	Use R!
Soggetto topico	Statistics Marketing Statistics and Computing/Statistics Programs Statistics for Business, Management, Economics, Finance, Insurance R (Computer program language)
ISBN	3-030-14316-3
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Chapter 1: Welcom to R -- Chapter 2: An Overview of the R Language -- Chapter 3: Describing Data -- Chapter 4: Relationships Between Continuous Variables -- Chapter 5: Comparing Groups: Tables and Visualizations -- Chapter 6: Comparing Groups: Statistical Tests -- Chapter 7: Identifying Drivers of Outcomes: Linear Models -- Chapter 8: Reducing Data Complexity -- Chapter 9: Assorted Linear Modeling Topics -- Chapter 10: Confirmatory Factor Analysis and Structural Equation Modeling -- Chapter 11: Segmentation: Clustering and Classification -- Chapter 12: Association Rules for Market Basket Analysis -- Chapter 13: Choice Modeling -- Chapter 14: Marketing Mix Models -- Appendix A: R Versions and Related Software -- Appendix B: Scaling Up -- Appendix C: Packages Used -- Appendix D: Online Materials and Data Files.
Record Nr.	UNINA-9910338256503321