R for dummies ebook

r for dummies ebook

See More See Less Related Titles Graph Partitioning by Charles-Edmond Bichot (Editor Patrick Siarry (Editor).
Appendix A: Installing R and vba excel do while loop example RStudio 395.
Get up to speed in no time with thebasics, from installing and configuring R to writing simple scriptsand performing simultaneous calculations on many variables * Put data in its place?
Chapter 17: Creating Faceted Graphics with Lattice 317.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.Home computing general Interest, master the programming language of choice among statisticians and data analysts worldwide.Chapter 16: Using Base Graphics 327.Learn to use R's powerful data visualization features to create beautiful and informative graphical presentations of your data.R For Dummies, 2nd Edition is an ideal introduction to R for complete beginners, as well as an excellent technical reference for experienced R programmers.It also covers many concepts that intermediate-level programmers will find extremely useful.Chapter 7: Working in More Dimensions 113.Chapter 11: Getting Help 209, part IV: Making the Data Talk 219.Don't get this if you are really more interested in the statistical part.Coming to grips with R can be tough, even for seasoned statisticians and data analysts.Part VI: The Part of Tens 347.Chapter 13: Manipulating and Processing Data 239.Offers advice on fitting regression models and anova.You'll learn how to reshape and manipulate galaxy s2 i9100 games data, forward email from outlook 2013 to gmail merge data sets, split and combine data, perform calculations on vectors and arrays, and so much more.Part II: Getting Down to Work in.
Chapter 2: Exploring R 19, chapter 3: The Fundamentals of.

That is, the premise is that R is first a programming language, then, mostly used for statistics.Requiring no prior programming experience and packed with tons of practical examples, step-by-step exercises, and sample code, this friendly and accessible guide shows you how to know your way around lists, data frames, and other R data structures, while learning to interact with other programs.Chapter 8: Putting the Fun in Functions 151.Mastering R has never been easier.Learn how to reshape andmanipulate data, merge data sets, split and combine data, performcalculations on vectors and arrays, and much more * Visualize it?Part V: Working with Graphics 299.Provides helpful hints for working with graphics.R is an open source statistical environment and programming language that has become very popular in varied fields for the management and analysis of data.
Coming to grips with R can be tough, even for seasonedstatisticians and data analysts.