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所在主题： R IN A NUTSHELL
文件名: R in a Nutshell.pdf
资料下载链接地址: https://bbs.pinggu.org/a-716323.html
附件大小: 5.4 MB 举报本内容
R Basics Chapter 1 Getting and Installing R R Versions Getting and Installing Interactive R Binaries Chapter 2 The R User Interface The R Graphical User Interface The R Console Batch Mode Using R Inside Microsoft Excel Other Ways to Run R Chapter 3 A Short R Tutorial Basic Operations in R Functions Variables Introduction to Data Structures Objects and Classes Models and Formulas Charts and Graphics Getting Help Chapter 4 R Packages An Overview of Packages Listing Packages in Local Libraries Loading Packages Exploring Package Repositories Custom Packages The R Language Chapter 5 An Overview of the R Language Expressions Objects Symbols Functions Objects Are Copied in Assignment Statements Everything in R Is an Object Special Values Coercion The R Interpreter Seeing How R Works Chapter 6 R Syntax Constants Operators Expressions Control Structures Accessing Data Structures R Code Style Standards Chapter 7 R Objects Primitive Object Types Vectors Lists Other Objects Attributes Chapter 8 Symbols and Environments Symbols Working with Environments The Global Environment Environments and Functions Exceptions Chapter 9 Functions The Function Keyword Arguments Return Values Functions As Arguments Argument Order and Named Arguments Side Effects Chapter 10 Object-Oriented Programming Overview of Object-Oriented Programming in R Object-Oriented Programming in R: S4 Classes Old-School OOP in R: S3 Chapter 11 High-Performance R Use Built-in Math Functions Use Environments for Lookup Tables Use a Database to Query Large Data Sets Preallocate Memory Monitor How Much Memory You Are Using Functions for Big Data Sets Parallel Computation with R High-Performance R Binaries Working with Data Chapter 12 Saving, Loading, and Editing Data Entering Data Within R Saving and Loading R Objects Importing Data from External Files Exporting Data Importing Data from Databases Chapter 13 Preparing Data Combining Data Sets Transformations Binning Data Subsets Summarizing Functions Data Cleaning Finding and Removing Duplicates Sorting Chapter 14 Graphics An Overview of R Graphics Graphics Devices Customizing Charts Chapter 15 Lattice Graphics History An Overview of the Lattice Package High-Level Lattice Plotting Functions Customizing Lattice Graphics Low-Level Functions Statistics with R Chapter 16 Analyzing Data Summary Statistics Correlation and Covariance Principal Components Analysis Factor Analysis Bootstrap Resampling Chapter 17 Probability Distributions Normal Distribution Common Distribution-Type Arguments Distribution Function Families Chapter 18 Statistical Tests Continuous Data Discrete Data Chapter 19 Power Tests Experimental Design Example t-Test Design Proportion Test Design ANOVA Test Design Chapter 20 Regression Models Example: A Simple Linear Model Details About the lm Function Subset Selection and Shrinkage Methods Nonlinear Models Survival Models Smoothing Machine Learning Algorithms for Regression Chapter 21 Classification Models Linear Classification Models Machine Learning Algorithms for Classification Chapter 22 Machine Learning Market Basket Analysis Clustering Chapter 23 Time Series Analysis Autocorrelation Functions Time Series Models Chapter 24 Bioconductor An Example Key Bioconductor Packages Data Structures Where to Go Next AppendixR Reference base boot class cluster codetools foreign grDevices graphics grid KernSmooth lattice MASS methods mgcv nlme nnet rpart spatial splines stats stats4 survival tcltk tools utils Bibliography Colophon
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