R data analysis cookbook : over 80 recipes to help you breeze through your data analysis projects using R /: over 80 recipes to help you breeze through your data analysis projects using R. (2015)

• Record Type: Book
• Other Titles: Over 80 recipes to help you breeze through your data analysis projects using R
• Further Information: Note: Viswa Viswanathan, Shanthi Viswanathan.
• Authors: Viswanathan, Viswa; Viswanathan, Shanthi
• Contents: Cover; Copyright; Credits; About the Authors; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Acquire and Preparethe Ingredients -Your Data; Introduction; Reading data from CSV files; Reading XML data; Reading JSON data; Reading data from fixed-width formatted files; Reading data from R files and R libraries; Removing cases with missing values; Replacing missing values with the mean; Removing duplicate cases; Rescaling a variable to [0, 1]; Normalizing or standardizing data in a data frame; Binning numerical data; Creating dummies for categorical variables. Chapter 2: What's in There? -- Exploratory Data AnalysisIntroduction; Creating standard data summaries; Extracting a subset of a dataset; Splitting a dataset; Creating random data partitions; Generating standard plots such as histograms, boxplots, and scatterplots; Generating multiple plots on a grid; Selecting a graphics device; Creating plots with the lattice package; Creating plots with the ggplot2 package; Creating charts that facilitate comparisons; Creating charts that help to visualize possible causality; Creating multivariate plots; Chapter 3: Where Does It Belong? -- Classification. IntroductionGenerating error/classification-confusion matrices; Generating ROC charts; Building, plotting, and evaluating -- classification trees; Using random forest models for classification; Classifying using the support vector machine approach; Classifying using the Naive Bayes approach; Classifying using the KNN approach; Using neural networks for classification; Classifying using linear discriminant function analysis; Classifying using logistic regression; Using AdaBoost to combine classification tree models; Chapter 4: Give Me a Number -- Regression; Introduction. Computing the root mean squared errorBuilding KNN models for regression; Performing linear regression; Performing variable selection in linear regression; Building regression trees; Building random forest models for regression; Using neural networks for regression; Performing k-fold cross-validation; Performing leave-one-out-cross-validation (LOOCV) to limit overfitting; Chapter 5: Can You Simplify That? -- Data Reduction Techniques ; Introduction; Performing cluster analysis using K-means clustering; Performing cluster analysis using hierarchical clustering. Reducing dimensionality with principal component analysisChapter 6: Lessons from History -- Time Series Analysis; Introduction; Creating and examining date objects; Operating on date objects; Performing preliminary analyses on time series data; Using time series objects; Decomposing time series; Filtering time series data; Smoothing and forecasting using the Holt-Winters method; Building an automated ARIMA model; Chapter 7: It's All About Your Connections -- Social Network Analysis ; Introduction; Downloading social network data using public APIs; Creating adjacency matrices and edge lists.
• Publisher Details: Birmingham, UK : Packt Publishing
• Publication Date: 2015
• Extent: 1 online resource (1 volume), illustrations
• Subjects: 519.502855133; COMPUTERS -- Data Visualization; R (Computer program language); Domain-specific programming languages; Data mining -- Mathematics; Information visualization; Mathematical statistics -- Data processing; R (Computer program language); COMPUTERS -- Databases -- General; COMPUTERS -- Data Modeling & Design; Electronic books; Electronic books
• Languages: English
• ISBNs: 9781783989072; 1783989076; 1783989068; 9781783989065
• Related ISBNs: 9781783989065
• Notes: Note: Description based on online resource; title from cover (Safari, viewed June 10, 2015).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.