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4 Ιουν 2018 · Introductory tutorial to programming in R, split in 2 parts: the basics on part1 (Online sources of information about R; Packages, Documentation and Help; Basics and syntax of R; Main R data...
Learning objectives: Install and load R packages Find package and function documentation Load external data into R Create and query vectors, matrices, and data frames Compute descriptive statistics and regression models Construct basic graphical displays.
R is a software language for carrying out complicated (and simple) statistical analyses. It includes routines for data summary and exploration, graphical presentation and data modelling. The aim of this document is to provide you with a basic °uency in the language.
Most R novices will start with the introductory session in Appendix A. This should give some familiarity with the style of R sessions and more importantly some instant feedback on what actually happens. Many users will come to R mainly for its graphical facilities. See Chapter 12 [Graphics],
This book will teach you how to program in R, with hands-on examples. I wrote it for non-programmers to provide a friendly introduction to the R language. You’ll learn how to load data, assemble and disassemble data objects, navigate R’s environment system, write your own functions, and use all of R’s programming tools.
Click on the links below to download pdf versions of the exercises. Exercise 1: Getting to know R and RStudio. Exercise 2: Basic R operations. Exercise 3: Importing and manipulating dataframes. Exercise 4: Visualising data using base R and lattice graphics. Exercise 5: Basic statistics in R. Exercise 6: Basic programming in R
Learn R. R is a programming language. R is often used for statistical computing and graphical presentation to analyze and visualize data. Start learning R now »
