57 search results for "rcmdr"

R-commander installation in openSUSE

February 14, 2011
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Thanks to this post I was able to install R-commander in openSUSE.  I've modified recipe a bit and don't want to search for it the next time.You have to perform several steps:Install R-base and R-base-devel packages from here. Install gfortran :~&...

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New edition of “R Companion to Applied Regression” – by John Fox and Sandy Weisberg

December 10, 2010
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New edition of “R Companion to Applied Regression” – by John Fox and Sandy Weisberg

Just two hours ago, Professor John Fox has announced on the R-help mailing list of a new (second) edition to his book “An R and S Plus Companion to Applied Regression”, now title . “An R Companion to Applied Regression, Second Edition”. John Fox is (very) well known in the R community for many contributions to R, including the...

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use R! 2010 conference — reflections

August 4, 2010
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From July 20-23, this year's use R! conference took place in Gaithersburg near Washington. I attended the conference as part of my holidays in the U.S. and had a good time there. I met some people, even though that is not the easiest thing for me to do, and I got some inspirations and ideas I outline below:Stat appsOne...

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A free book on probability and statistics with R

July 29, 2010
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G Jay Kerns has published a 400+ page introductory text on Probability and Statistics. All of the examples and illustrations are done using R (as Jay puts it, "The people at the party are Probability and Statistics; the handshake is R") so if you want to brush up on your probability and learn R at the same time, this...

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IPSUR book used LyX-Sweave

July 28, 2010
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Jay Kerns wrote a book titled "Introduction to Probability and Statistics Using R" or IPSUR for short. He has put up a web site for the book and Rcmdr plugin. There are at least two very important points from my side (I did not read the book, yet): 1. ...

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R Commander – two-way analysis of variance

June 25, 2010
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R Commander – two-way analysis of variance

Two way analysis of variance models can be fitted to data using the R Commander GUI. The general approach is similar to fitting the other types of model in R Commander described in previous posts. Fast Tube by Casper The “Statistics” menu provides access to some analysis of variance models via the “Means” sub-menu: Multi-way ANOVA – the

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R Commander – one-way analysis of variance

June 25, 2010
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R Commander – one-way analysis of variance

One way analysis of variance models can be fitted to data using the R Commander GUI. The general approach is similar to fitting the other types of model in R Commander described in previous posts. Fast Tube by Casper The “Statistics” menu provides access to some analysis of variance models via the “Means” sub-menu: One-way ANOVA – the

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R Commander – logistic regression

June 23, 2010
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R Commander – logistic regression

We can use the R Commander GUI to fit logistic regression models with one or more explanatory variables. There are also facilities to plot data and consider model diagnostics. The same series of menus as for linear models are used to fit a logistic regression model. Fast Tube by Casper The “Statistics” menu provides access to various

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R Commander – linear regression

June 18, 2010
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R Commander – linear regression

We can fit various linear regression models using the R Commander GUI which also provides various ways to consider the model diagnostics to determine whether we need to consider a different model. Fast Tube by Casper The “Statistics” menu provides access to various statistical models via the “Fit models” sub-menu including: Linear regression – the simplest scenario with

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R Commander – hypothesis testing

June 16, 2010
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R Commander – hypothesis testing

The R Commander GUI can be used to perform classical hypothesis testing. There are menu options to undertake the variants on the t-test as well as tests on proportions or equality of variances for two samples of data. Fast Tube by Casper The “Statistics” menu provides access to various hypothesis tests via the “Means” sub-menu including: Single sample

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