05037nam 2200649 450 991078804980332120200520144314.01-78439-265-0(CKB)2670000000590759(EBL)1910211(SSID)ssj0001436055(PQKBManifestationID)11746541(PQKBTitleCode)TC0001436055(PQKBWorkID)11436345(PQKB)10794509(MiAaPQ)EBC1910211(Au-PeEL)EBL1910211(CaPaEBR)ebr11001835(CaONFJC)MIL687817(OCoLC)900882999(PPN)228020018(EXLCZ)99267000000059075920150116h20142014 uy 0engur|n|---|||||txtccrR for data science learn and explore the fundamentals of data science with R /Dan ToomeyBirmingham, England :Packt Publishing,2014.©20141 online resource (364 p.)Community Experience DistilledIncludes index.1-78439-086-0 1-322-56535-X 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; SummaryChapter 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 graphicsAnalyzing 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 clustersThe 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 matricessplom - 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; PredictionLogistic regressionIf you are a data analyst who has a firm grip on some advanced data analysis techniques and wants to learn how to leverage the features of R, this is the book for you. You should have some basic knowledge of the R language and should know about some data science topics.Community experience distilled.R (Computer program language)Mathematical statisticsData processingR (Computer program language)Mathematical statisticsData processing.519.502855133Toomey Dan480564MiAaPQMiAaPQMiAaPQBOOK9910788049803321R for data science256294UNINA