R Project Statistics

R Project Statistics-76
The latest version, 2.12.1, was released on December 16, 2010.Since 1997 an international core team of about 15 people develops R.

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R uses a command line interface, though several graphical user interfaces are available.

wikipedia entry on R "R has many functions for statistical analyses and graphics; the latter are visualized immediately in their own window and can be saved in various formats (jpg, png, bmp, ps, pdf, emf, pictex, xfig; the available formats may depend on the operating system).

This particular page is an update of a previous guide to R which is being converted to HTML5 to be more readable.

(For a very abbreviated form of this guide meant to help students do basic data analysis in a personality research course, see a very short guide.

This is not meant as a user's guide to R, but merely the first step in guiding people to helpful tutorials.

I hope that enough information is provided in this brief guide to make the reader want to learn more.(For the impatient, an even briefer guide to analyzing data for personality research is also available.) It has been claimed that "The R statistical programming language and computing environment has become the de-facto standard for writing statistical software among statisticians and has made substantial inroads in the social and behavioural sciences.R is a free, open-source implementation of the S language, and is available for Windows, Mac OS X, and Unix/Linux systems.This is one page of a series of tutorials for using R in psychological research.Much of material has also covered been covered in number of short courses or in a set of tutorials for specific problems.It is also possible to combine in a single program different statistical functions to perform more complex analyses.The R users may benefit from a large number of programs written for S and available on the internet, most of these programs can be used directly with R.All of these ideas depend on free or scraped data, which means that anyone can work on them.I’ve given a ballpark difficulty for each project to give people some idea. Data Collection/Synthesis offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, La Te X, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...At first, R could seem too complex for a non-specialist. In fact, a prominent feature of R is its flexibility." R for Beginners, Emmanuel Paradis, p5/6 R was originally created by Ross Ihaka and Robert Gentleman (hence the name R) at the University of Auckland, New Zealand, and is now developed by the R Development Core Team.R is considered by its developers to be an implementation of the S programming language, with semantics derived from Scheme.

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Comments R Project Statistics

  • R regression models workshop notes - Harvard University
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    Launch RStudio. Open the RStudio program from the Windows start menu; Create a project in the Rstatistics folder you downloaded earlier File = New Project = Existing Directory = Browse and select the Rstatistics folder.…

  • Exploring Data and Descriptive Statistics using R
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    Frame’ return a data frame. # ‘use.value.labels’ Convert variables with value labels into R factors with those levels. # ‘use.missings’ logical should information on user-defined missing values be used to set the…

  • Your First Machine Learning Project in R Step-By-Step
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    My question is if I have two data sets, the training data and the test data. What functions must I use for R to recognise my training data to built the models on and test data to validate. Unlike on the Iris project where they have one data and splitted it on 80% 20%…

  • R-Project Links - PALE-Blu Data Portal
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    Quick-R Advanced statistics; R Tutorials from Universities Around the World; A tutorial for Lattice; Multiple tutorials for using ggplot2 and Lattice; Statistics in R Beginners notes in French and English; Cheat sheet for R - In English; Cheat sheet for R - In French; Rtips; Resources to help you learn and use R From UCLA Academic Technology Services…

  • Summarizing data - Cookbook for R
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    Sometimes there will be empty combinations of factors in the summary data frame – that is, combinations of factors that are possible, but don’t actually occur in the original data frame. It is often useful to automatically fill in those combinations in the summary data frame with NA’s.…

  • Jobs for R programmers, data scientists, statisticians, etc.
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    Data Scientist – Analytics @ 3,219 views Data Scientist for ADM @ Reno, Nevada, United States 3,018 views Data analyst 2,865 views Software Developer with R experience @ Arlington, Virginia, U. S. 2,764 views Summer 2016 Internships for NORC at the University of Chicago 2,643 views Data Scientist for ARMUS @ California.…

  • The R Project - The Use of R in Official Statistics.
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    Our Team acts as user community for development of R project among the Romanian individual persons, institutions and commercial and noncommercial organizations. The Romanian Team promote the R project for statistical computing to provide a free and open source software environment for data analysis and graphics in Romania.…

  • R/datasets -
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    Request Looking for the Dataset Related to World Bank's 'Global data set on education quality 1965-2015' Publication self.datasets submitted 2 days ago by FWolf14 1 comment…

  • Courses Using R
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    Between R and Python, R has a richer set of statistical and machine learning modeling packages and is often preferred for the development and prototyping of models, while Python is often preferred for its data handling and performance capabilities.…

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