R Tutorials

Introduction to Statistical Learning. An Introduction to Statistical Learning with Applications in R Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani This book provides an introduction to statistical learning methods.

It is aimed for upper level undergraduate students, masters students and Ph.D. students in the non-mathematical sciences. Twotorials by anthony damico. Journal of Statistical Software — Show. <- Dicas curtas sobre R. Como fazer e interpretar o gráfico quantil-quantil. Live, Interactive, Online Courses. Home Page. Statistics with R. Warning Here are the notes I took while discovering and using the statistical environment R.

However, I do not claim any competence in the domains I tackle: I hope you will find those notes useful, but keep you eyes open -- errors and bad advice are still lurking in those pages... Should you want it, I have prepared a quick-and-dirty PDF version of this document. The old, French version is still available, in HTML or as a single file. You may also want all the code in this document. 1. This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License. CRAN: Contributed Documentation. R by example. Basics Reading files Graphs Probability and statistics Regression Time-series analysis All these examples in one tarfile.

Outright non-working code is unlikely, though occasionally my fingers fumble or code-rot occurs. Other useful materials Suggestions for learning R The R project is at : In particular, see the `other docs' there. Over and above the strong set of functions that you get in `off the shelf' R, there is a concept like CPAN (of the perl world) or CTAN (of the tex world), where there is a large, well-organised collection of 3rd party software, written by people all over the world.

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.

Robinson-icebreaker.pdf (objeto application/pdf) R-fundamentals.pdf (objeto application/pdf) R course notes. UseR! 2011 slides and videos – on one page. Personality Project using R for psy. Using R to calculate chi squared. Canal de jdeisenberg. Using R to do a related t-test. Reasons to learn the R Programming Language. Apresentação [Uso da Linguagem R para Análises de dados Ecológicos] “Uma das coisas mais importantes que você pode fazer é dedicar um tempo para aprender uma linguagem de programação de verdade.

Aprender a programar é como aprender outro idioma: exige tempo e treinamento, e não há resultados práticos imediatos. Mas se você supera essa primeira subida íngreme da curva de aprendizado, os ganhos como cientista são enormes. Programar não vai apenas livrar você da camisa de força dos pacotes estatísticos, mas também irá aguçar suas habilidades analíticas e ampliar os horizontes de modelagem ecológica e estatística.” Tradução um tanto livre de Gotelli & Ellison, 2004. A Primer of Ecological Statistics. "A chave para entender o R é que trata-se de uma linguagem. "A pergunta certa sobre uma análise em R não é se é possível fazê-la, e sim como fazê-la. " "Tudo que ensinas a uma criança, impede-a de descobrir. " Este é o sítio wiki do nosso curso de introdução à Linguagem para Pós-Graduandos em Ecologia e áreas afins.

Objetivos Objetivos Específicos Responsáveis Conteúdo. R Tutorial. R Tutorial: Basic Probability. We look at some of the basic operations associated with probability distributions.

There are a large number of probability distributions available, but we only look at a few. If you would like to know what distributions are available you can do a search using the command help.search(“distribution”). Here we give details about the commands associated with the normal distribution and briefly mention the commands for other distributions. The functions for different distributions are very similar where the differences are noted below. For this chapter it is assumed that you know how to enter data which is covered in the previous chapters. To get a full list of the distributions available in R you can use the following command: For every distribution there are four commands.

How to use R. R is a powerful, free and open source, cross-platform, statistical and graphing software package;programming language;software environment for statistical computing.

Downloading R[edit] Visit the R Project home page.