Official Statistics & Survey Methodology. This CRAN task view contains a list of packages that includes methods typically used in official statistics and survey methodology. Many packages provide functionality for more than one of the topics listed below. Therefore this list is not a strict categorization and packages can be listed more than once. Certain data import/export facilities regarding to often used statistical software tools like SPSS, SAS or Stata are mentioned in the end of the task view.
Complex Survey Design: General Comments Package sampling includes many different algorithms for drawing survey samples and calibrating the design weights. Package survey can also handle moderate data sets and is the standard package for dealing with already drawn survey samples in R. Complex Survey Design: Details Complex Survey Design: Point and Variance Estimation Package survey allows to specify a complex survey design. Complex Survey Design: Calibration Editing and Visual Inspection of Microdata Editing tools: Visual tools: Design of Experiments (DoE) & Analysis of Experimental Data. This task view collects information on R packages for experimental design and analysis of data from experiments.
Please feel free to suggest enhancements, and please send information on new packages or major package updates if you think they belong here. Contact details are given on my Web page . Experimental design is applied in many areas, and methods have been tailored to the needs of various fields. This task view starts out with a section on the most general packages, continues with specific sections on agricultural and industrial experimentation, computer experiments, and experimentation in the clinical trials contexts, and closes with a section on various special experimental design packages that have been developed for other specific purposes. Experimental designs for general purposes Experimental designs for agricultural and plant breeding experiments Experimental designs for industrial experiments Package FrF2 is the most comprehensive R package for their creation.
An R Introduction to Statistics. Introduçao ao Ambiente Estat<img src="aer12-19.png" alt="i" class="x-x-19" />stico R. Paulo Justiniano Ribeiro Junior Última atualização: 29 de maio de 2011 Estas notas foram inicialmente escritas para um curso de introdução ao sistema estatístico R ministrado para profissionais da EMBRAPA em Brasília, 30/05 a 03/06 de 2005. Desde sua versão inicial o material tem sido constantemente modificado com a expansão, correção e inclusão de tópicos. O objetivo é ilustrar aspectos básicos do sistema com ênfase na compreensão de aspectos básicos da linguagem, a estrutura e a forma de operar o programa.
Nenhum método e/ou modelo estatístico em particular é discutido em detalhes seja em seus fundamentos ou alternativas para análises. Os métodos estatísticos são usados ao longo do texto simplesmente para ilustrar aspectos do uso da linguagem. Na maior parte do texto assume-se apenas familiaridade com conceitos e métodos básicos de estatística. Para utilizar o R siga os seguintes passos: inicie o R em seu computador; No restante deste texto vamos seguir as seguintes convenções. R | Voliadis place. Материалы А. ШипуноR-object oriented environment (Shipunov links) Nikolai Yu. Zolotykh pages.