**http://www.ats.ucla.edu/stat/r/**

Exploratory Data Analysis Using R Lesson 1: What is EDA? (1 hour) We'll start by learn about what exploratory data analysis (EDA) is and why it is important. You'll meet the amazing instructors for the course and find out about the course structure and final project. Exploratory Data Analysis and Regression in R Exploratory Data Analysis (EDA) and Regression This tutorial demonstrates some of the capabilities of R for exploring relationships among two (or more) quantitative variables. Bivariate exploratory data analysis We begin by loading the Hipparcos dataset used in the descriptive statistics tutorial, found at Type hip <- read.table(" header=T,fill=T) names(hip) attach(hip) In the descriptive statistics tutorial, we considered boxplots, a one-dimensional plotting technique.

Reshape R provides a variety of methods for reshaping data prior to analysis. Transpose Use the t() function to transpose a matrix or a data frame. R Starter Kit R Starter Kit This page is intended for people who: These materials have been collected from various places on our website and have been ordered so that you can, in step-by-step fashion, develop the skills needed to conduct common analyses in R. R: The R Datasets Package Documentation for package ‘datasets’ version 3.3.0 DESCRIPTION file. Help Pages

R Programming Welcome to the R programming Wikibook This book is designed to be a practical guide to the R programming language[1]. R is free software designed for statistical computing. There is already great documentation for the standard R packages on the Comprehensive R Archive Network (CRAN)[2] and many resources in specialized books, forums such as Stackoverflow[3] and personal blogs[4], but all of these resources are scattered and therefore difficult to find and to compare. The aim of this Wikibook is to be the place where anyone can share his or her knowledge and tricks on R. It is supposed to be organized by task but not by discipline[5].

Installing and Starting SparkR Locally on Windows OS and RStudio Introduction With the release of Apache Spark 1.4.1 on July 15th, 2015, I wanted to write a step-by-step guide to help new users get up and running with SparkR locally on a Windows machine using command shell and RStudio. SparkR provides an R frontend to Apache Spark and using Spark’s distributed computation engine allows R-Users to run large scale data analysis from the R shell.

R Programming - Utilities Useful fucntions Mathematical utilities Consider the following famous functions: abs(): calculate the absolute value.sum(): calculate the sum of all the values in a data structure.mean(): calculate the arithmetic mean.round(): Round the values to 0 decimal places by default. Try out ?round in the console for variations of round() and ways to change the number of digits to round to.

D G Rossiter - Publications & Computer Programs Rossiter, DG 2012. Introduction to the R Project for Statistical Computing for use at ITC 14-Aug-2012, v + 136 pp. (First version 2003) On-line, version 4.0 (3 Mb) Rossiter, DG 2014.

Related: R
- R Resources
- R Language
- SUP&R ITN
- R
- R packages
- R Markdown V1
- H.A.A.R.P.
- SOFTWARE (bez H E R)
- R tips
- M through R
- R&D vendors
- R
- R
- Unsorted R&D
- R
- r language
- regression r
- R
- R
- r wordcloud
- C U R R E N T
- R - Z
- R
- F L U O R
- U.R.A.Q.T
- Introduction to R
- R&W Ideas
- sabrina_r
- R
- R-How2s
- R&D
- R programming
- R
- R
- T.P.R. 2º ESO
- U R L A U B
- Latex-R-Sweave
- KnowledgeStorm - The Enterprise Software, Hardware, Services, and White Papers Resource