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R For Dummies
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Master the programming language of choice among statisticians and data analysts worldwideComing to grips with R can be tough, even for seasoned statisticians and data analysts. Enter R For Dummies, the quick, easy way to master all the R you'll ever need. Requiring no prior programming experience and packed with practical examples, easy, step-by-step exercises, and sample code, this extremely accessible guide is the ideal introduction to R for complete beginners. It also covers many concepts that intermediate-level programmers will find extremely useful. * Master your R ABCs - get up to speed...
Master the programming language of choice among statisticians and data analysts worldwide
Coming to grips with R can be tough, even for seasoned statisticians and data analysts. Enter R For Dummies, the quick, easy way to master all the R you'll ever need. Requiring no prior programming experience and packed with practical examples, easy, step-by-step exercises, and sample code, this extremely accessible guide is the ideal introduction to R for complete beginners. It also covers many concepts that intermediate-level programmers will find extremely useful.
* Master your R ABCs - get up to speed in no time with the basics, from installing and configuring R to writing simple scripts and performing simultaneous calculations on many variables
* Put data in its place - get to know your way around lists, data frames, and other R data structures while learning to interact with other programs, such as Microsoft Excel
* Make data dance to your tune - learn how to reshape and manipulate data, merge data sets, split and combine data, perform calculations on vectors and arrays, and much more
* Visualize it - learn to use R's powerful data visualization features to create beautiful and informative graphical presentations of your data
* Get statistical - find out how to do simple statistical analysis, summarize your variables, and conduct classic statistical tests, such as t-tests
* Expand and customize R - get the lowdown on how to find, install, and make the most of add-on packages created by the global R community for a wide variety of purposes
* Open the book and find:
* Help downloading, installing, and configuring R
* Tips for getting data in and out of R
* Ways to use data frames and lists to organize data
* How to manipulate and process data
* Advice on fitting regression models and ANOVA
* Helpful hints for working with graphics
* How to code in R
* What R mailing lists and forums can do for you
Coming to grips with R can be tough, even for seasoned statisticians and data analysts. Enter R For Dummies, the quick, easy way to master all the R you'll ever need. Requiring no prior programming experience and packed with practical examples, easy, step-by-step exercises, and sample code, this extremely accessible guide is the ideal introduction to R for complete beginners. It also covers many concepts that intermediate-level programmers will find extremely useful.
* Master your R ABCs - get up to speed in no time with the basics, from installing and configuring R to writing simple scripts and performing simultaneous calculations on many variables
* Put data in its place - get to know your way around lists, data frames, and other R data structures while learning to interact with other programs, such as Microsoft Excel
* Make data dance to your tune - learn how to reshape and manipulate data, merge data sets, split and combine data, perform calculations on vectors and arrays, and much more
* Visualize it - learn to use R's powerful data visualization features to create beautiful and informative graphical presentations of your data
* Get statistical - find out how to do simple statistical analysis, summarize your variables, and conduct classic statistical tests, such as t-tests
* Expand and customize R - get the lowdown on how to find, install, and make the most of add-on packages created by the global R community for a wide variety of purposes
* Open the book and find:
* Help downloading, installing, and configuring R
* Tips for getting data in and out of R
* Ways to use data frames and lists to organize data
* How to manipulate and process data
* Advice on fitting regression models and ANOVA
* Helpful hints for working with graphics
* How to code in R
* What R mailing lists and forums can do for you