275 search results for "ANova"

Abbreviations of R Commands Explained: 250+ R Abbreviations

May 10, 2010
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The R programming language includes many abbreviations. Abbreviations exist in function names, argument names, and allowed values for arguments. This post expands on over 150 R abbreviations with the aim of making it easier for users new to R who are trying...

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Bayes vs. SAS

May 6, 2010
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Bayes vs. SAS

Glancing perchance at the back of my Amstat News, I was intrigued by the SAS advertisement Bayesian Methods Specify Bayesian analysis for ANOVA, logistic regression, Poisson regression, accelerated failure time models and Cox regression through the GENMOD, LIFEREG and PHREG procedures. Analyze a wider variety of models with the MCMC procedure, a general purpose Bayesian

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Videos on Data Analysis with R: Introductory, Intermediate, and Advanced Resources

May 4, 2010
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Videos on Data Analysis with R: Introductory, Intermediate, and Advanced Resources

If you want to learn about R through videos, there are now a large number of options.This post provides links to many of these video under the headings of:(a) What is R?(b) Introductory R, and(c) Intermediate and Advanced R.What is R?If you are evaluat...

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Videos on Data Analysis with R: Introductory, Intermediate, and Advanced Resources

May 4, 2010
By

If you want to learn about R through videos, there are now a large number of options. This post provides links to many of these video under the headings of: (a) What is R? (b) Introductory R, and (c) Intermediate and Advanced R. What is R?If you are...

Read more »

Analysis of Covariance – Extending Simple Linear Regression

April 28, 2010
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Analysis of Covariance – Extending Simple Linear Regression

The simple linear regression model considers the relationship between two variables and in many cases more information will be available that can be used to extend the model. For example, there might be a categorical variable (sometimes known as a covariate) that can be used to divide the data set to fit a separate linear

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Updated Site Map for Jeromy Anglim’s Blog Psychology and Statistics

March 23, 2010
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Every Six months or so I like to update the Site Mapfor my blog jeromyanglim.blogspot.com. Thus, if you're new to the blog, The Site Map provides an overview of previous blog content organised by topic. RSS Feed: http://feeds.feedburner.com/jeromyang...

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Updated Site Map for Jeromy Anglim’s Blog Psychology and Statistics

March 23, 2010
By

Every Six months or so I like to update the Site Mapfor my blog jeromyanglim.blogspot.com. Thus, if you're new to the blog, The Site Map provides an overview of previous blog content organised by topic. RSS Feed: http://feeds.feedburner.com/jeromyang...

Read more »

Interaction plot from cell means

February 24, 2010
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Interaction plot from cell means

I needed to produce a few a interaction plots for my book in R and, while the interaction.plot() function is useful it has a couple of drawbacks. First, the default output isn't very pretty. Second, it works from the raw data, whereas I often need plot...

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Post hoc analysis for Friedman’s Test (R code)

February 22, 2010
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Post hoc analysis for Friedman’s Test  (R code)

My goal in this post is to give an overview of Friedman’s Test and then offer R code to perform post hoc analysis on Friedman’s Test results. (The R function can be downloaded from here) Preface: What is Friedman’s Test Friedman test is a non-parametric randomized block analysis of variance. Which is to say it is a non-parametric version of...

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Design of Experiments – Block Designs

February 20, 2010
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Design of Experiments – Block Designs

In many experiments where the investigator is comparing a set of treatments there is the possibility of one or more sources of variability in the experimental measurements that can be accounted for during the design stage of the experimentation. For example we might be investigating four different pieces of machinery using say two different operators,

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