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R Programming - Manuals

R Programming - Manuals
R Basics The R & BioConductor manual provides a general introduction to the usage of the R environment and its basic command syntax. Code Editors for R Several excellent code editors are available that provide functionalities like R syntax highlighting, auto code indenting and utilities to send code/functions to the R console. Programming in R using Vim or Emacs Programming in R using RStudio Integrating R with Vim and Tmux Users interested in integrating R with vim and tmux may want to consult the Vim-R-Tmux configuration page. Finding Help Reference list on R programming (selection)R Programming for Bioinformatics, by Robert GentlemanS Programming, by W. Control Structures Conditional Executions Comparison Operators equal: ==not equal: ! Logical Operators If Statements If statements operate on length-one logical vectors. Syntax if(cond1=true) { cmd1 } else { cmd2 } Example if(1==0) { print(1) } else { print(2) } [1] 2 Avoid inserting newlines between '} else'. Ifelse Statements Loops For Loop Example

http://manuals.bioinformatics.ucr.edu/home/programming-in-r

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60+ R resources to improve your data skills This list was originally published as part of the Computerworld Beginner's Guide to R but has since been expanded to also include resources for advanced beginner and intermediate users. If you're just starting out with R, I recommend first heading to the Beginner's Guide. These websites, videos, blogs, social media/communities, software and books/ebooks can help you do more with R; my favorites are listed in bold. Want to see a sortable list of resources by subject and type? Expand the chart below.

Programming in R The R languageData structuresDebuggingObject Oriented Programming: S3 ClassesObject Oriented Programming: S3 ClassesData storage, Data import, Data exportPackagesOther languages(Graphical) User InterfaceWeb interface: RpadWeb programming: RZopeWeb servicesClusters, parallel programmingMiscellaneousNumerical optimizationMiscellaneousDirty Tricks In this part, after quickly listing the main characteristics of the language, we present the basic data types, how to create them, how to explore them, how to extract pieces of them, how to modify them. We then jump to more advanced subjects (most of which can -- should? -- be omitted by first-time readers): debugging, profiling, namespaces, objects, interface with other programs, with data bases, with other languages. The R language Control structures

The R programming language for programmers coming from other programming languages IntroductionAssignment and underscoreVariable name gotchasVectorsSequencesTypesBoolean operatorsListsMatricesMissing values and NaNsCommentsFunctionsScopeMisc.Other resources Ukrainian translation Other languages: Powered by Translate Introduction Onepager Now with knitR \documentclass[nohyper,justified]{tufte-handout} %\documentclass{article} %\usepackage[absolute,showboxes]{textpos} Deep Learning in a Nutshell 29 December 2014 Deep learning. Neural networks. Medley: a new R package for blending regression models Hi Sashi, Sorry for the muddled explaination. What I was trying to say is, if you give Martin's medley package a tuning grid, it will fit a model to each parameter set in the grid, and then include ALL the models in the final ensemble.

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. R Beginner's Guide and R Bloggers Updates 1/1/2011 Update: Tal Galili wrote an article that revisits the first year of R-Bloggers and this post was listed as one of the top 14. Therefore, I decided to make a small update to each section. I start by describing the initial series of tutorials that I wrote.

statistics by Terry M. Therneau Ph.D.Faculty, Mayo Clinic About a year ago there was a query about how to do "type 3" tests for a Cox model on the R help list, which someone wanted because SAS does it. The SAS addition looked suspicious to me, but as the author of the survival package I thought I should understand the issue more deeply. It took far longer than I expected but has been illuminating. The timeline of statistics ‘Study the past if you would define the future’ - Confucius. ‘The further back you can look, the further forward you are likely to see’ – Churchill. ‘If history were taught in the form of stories it would never be forgotten’ – Kipling. Significance magazine has been going for ten years. To mark its birthday we have published a fold-out timeline of more or less everything that is important in the history of statistics. And as Kipling hinted, history is a story.

R FAQ Frequently Asked Questions on R Version 3.1.2014-04-05 Table of Contents 1 Introduction This document contains answers to some of the most frequently asked questions about R. 1.1 Legalese

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