807 search results for "RSTUDIO"

Forest plots in R (ggplot) with side table

November 6, 2012
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Forest plots in R (ggplot) with side table

A friend asked me to help with a forest plot recently. After chatting about what she wanted the end result to look like, this is what I came up with. grid.arrange(data_table, p, ncol=2) ## Warning: Removed 1 rows containing missing … Continue reading →

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Upcoming R training by Hadley Wickham: SF Dec 3-4, DC Dec 10-11

November 1, 2012
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(By Hadley Wickham) Hi all, I’d like to let you know about four R training courses that RStudio will be offering in December: * Effective data visualization (http://bit.ly/TY2ONI) Dec 3. San Francisco, CA * Reports and reproducible research (http://bit.ly/RsZmYr) Dec 4. San Francisco, CA * Advanced R programming (http://bit.ly/RvZDsd) Dec 10. Washington, DC * Package development (http://bit.ly/UhTIWz) Dec 11....

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Hierarchical linear models and lmer

October 31, 2012
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Hierarchical linear models and lmer

Hierarchical linear models and lmer Article by Ben Ogorek Graphics by Bob Forrest Background My last article featured linear models with random slopes. For estimation and prediction, we used the lmer function from the lme4 package. Today we'll consider another level in the hierarchy, one...

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Introducing R and Biostatistics to first year LCG students (2012 version)

October 30, 2012
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Introducing R and Biostatistics to first year LCG students (2012 version)

On Friday November 9th I’ll be giving a talk to the first year students from the Undergraduate Program on Genomic Sciences (LCG in Spanish) during their “Seminar 1: Introduction to Bioinformatics” course. It’s just like I did a year ago as I documented in my post Introducing Biostatistics to first year LCG students.Well, this time I’ll change things...

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googleVis 0.3.2 is released: Better integration with knitr

October 29, 2012
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googleVis 0.3.2 is released: Better integration with knitr

After last week's kerfuffle I hope the roll out of googleVis version 0.3.2 will be smooth. To test the water I release this version into the wild here and if it doesn't get shot down in the next days, then I shall try to upload it to CRAN. I am mindful...

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Visiting FHCRC, JHSPH and Meeting Xi’an

October 29, 2012
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Visiting FHCRC, JHSPH and Meeting Xi’an

I have been traveling during the last two weeks. I visited Fred Hutchinson Cancer Research Center on Oct 16 and the Department of Biostatistics at Johns Hopkins at the invitation of Simply Statistics on Oct 23. Today Christian Robert was visiting our department at Iowa State, and I also talked to him. It is really cool...

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Quick notes from Strata NYC 2012

October 24, 2012
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The O'Reilly Strata conferences are always great fun to attend, and this latest installment in New York City is no exception. This one is super-busy though; the conference has been sold out for weeks -- and not just marketing-sold-out, it's fire-department-sold out. It's non-stop conversations and presentations, and it's tough to move through the hallways in between. Nonetheless, I...

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googleVis 0.3.0/0.3.1 is released: It’s faster!

October 23, 2012
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googleVis 0.3.0/0.3.1 is released: It’s faster!

Version 0.3.0 of the googleVis package for R has been released on CRAN on 20 October 2012. With this version we have been able to speed up the code considerably. The transformation of R data frames into JSON works significantly faster. The execution of the gvisMotionChart function in the World Bank demo is over 35 times...

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Introduction to R: Installation, Using R as a Calculator, Operators

October 15, 2012
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Intro to R Hello, and welcome to my blog. The goal of this is to introduce people to R in a way that is easy to grasp. It's command line interface can be pretty intimidating, so hopefully this can help ease you into it. Chances are, if you're reading this, you're a close friend of mine (I don't have much...

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Annotations for “R For Dummies”

October 15, 2012
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Annotations for “R For Dummies”

Here are detailed comments on the book.  Elsewhere there is a review of the book. How to read R For Dummies In order to learn R you need to do something with it.  After you have read a little of the book, find something to do.  Mix reading and doing your project. You cannot win … Continue reading...

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