361 search results for "ANOVA"

Where to Go from Here? Tips for Building Up R Experience

December 8, 2016
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Where to Go from Here? Tips for Building Up R Experience

At the University of Utah, I teach the R lab that accompanies MATH 3070, “Applied Statistics I.”” None of my students are presumed to have any programming experience, and they never hesitate to remind me of that fact, especially when they are starting out. When I create assignments and pick problems, I often can write…Read more Where...

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Introduction of the pdfsearch package

December 2, 2016
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I'm happy to introduce an add-on package, pdfsearch, that adds the ability to do keyword searches on pdf files. This add-on package uses the excellent pdftools package from the ropensci project to read in pdf files and perform keyword searches based ch...

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LR03: Residuals and RMSE

LR03: Residuals and RMSE

This is post #3 on the subject of linear regression, using R for computational demonstrations and examples. We cover here residuals (or prediction errors) and the RMSE of the prediction line. The first post in the series is LR01: Correlation. Acknowledgments: organization is extracted from: Freedman, Pisani, Purves, Statistics, 4th ed., probably the best book on statistical thinking...

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Analysis of tabular data from csv file

November 15, 2016
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Analysis of tabular data from csv file

Sometimes data may not be available in the csv file in the required format. Consider the following csv file, whose details are as follows – Four different treatments were given to four different groups of patients. Random samples of size 7 were selected from each group and blood levels of Hb percentage levels were measured … Continue...

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Major Update to rms package: 5.0-0

November 10, 2016
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Major Update to rms package: 5.0-0

Written by Frank E Harrell Jr (first published here) A major new version of the rms package is now on CRAN.  The most user-visible changes are: – interactive plotly graphic methods for model fits.  The best example of this is survplot for npsurv (Kaplan-Meier) estimates where the number of risk pop up as you hover over the curves, and you...

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Raccoon | Ch 2.2 – 2 sample t-test and paired t

November 7, 2016
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Raccoon | Ch 2.2 – 2 sample t-test and paired t

Raccoon is a free web-book about Statistical Models with R. It's the collection of twenty years of notes, exercises and concepts working with statistics and R. This is the second section of the second chapter, about 2-sample t-test and paired t. The post Raccoon | Ch 2.2 – 2 sample t-test and paired t appeared first on

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A Simple Guide to S3 Methods

November 5, 2016
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A few months ago I wrote about my first solo author submission to the R Journal entitled, “A Simple Guide to S3 Methods”. Unfortunately the article didn’t make it to publication on the R Journal, but admittedly that might have been a bit of a lon...

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New Expansion of the R Course Finder!

November 4, 2016
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New Expansion of the R Course Finder!

On the 1st of september we launched R course finder, an online directory that helps you to find the right R course quickly. With so many R courses available online, we thought it was a good idea to offer a tool that helps people to compare these courses, before they decide where to spend their

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Weighted Effect Coding: Dummy coding when size matters

October 31, 2016
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If your regression model contains a categorical predictor variable, you commonly test the significance of its categories against a preselected reference category. If all categories have (roughly) the same number of observations, you can also ...

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Annotated Facets with ggplot2

October 20, 2016
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Annotated Facets with ggplot2

I was recently asked to do a panel of grouped boxplots of a continuous variable, with each panel representing a categorical grouping variable. This seems easy enough with ggplot2 and the facet_wrap function, but then my collaborator wanted p-values on the graphs! This post is my approach to the problem. First of all, one caveat. I’m a

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