Monthly Archives: October 2013

Analysis of #ASHG2013 Tweets

October 28, 2013
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Analysis of #ASHG2013 Tweets

I archived and anlayzed all Tweets with the hashtag #ASHG2013 using my previously mentioned code.Number of Tweets by date shows Wednesday was the most Tweeted day:The top used hashtags other than #ASHG2013:The most prolific users:And what Twitter analy...

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Warning: Mac OS 10.9 Mavericks and R Don’t Play Nicely

October 27, 2013
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For some reason I was compelled to update my Mac’s OS and R on the same day. (I know…) It didn’t go well on several accounts and I mostly blame Apple. Here are the details. I updated R to version … Continue reading →

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ipython notebook for R: Quickstart for Ubuntu

October 27, 2013
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If you’re like me, you love ipython notebook but often write R.  RStudio’s integrated RMarkdown is nice, but for some contexts like quick demos or basic training, a browser-based interface is unbeatable.  What if we could get the best of… Read more ›

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Alternative to Grouped Bar Charts in R

October 27, 2013
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Alternative to Grouped Bar Charts in R

The #spiffy @dseverski gave me this posit the other day: Hey, @hrbrmstr, doughnut chart aside, how would you approach the first graph at http://t.co/zjHoHRVOeo? Bump chart? Trend line? Leave as is?— David F. Severski (@dseverski) October 25, 2013 and, I...

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Let’s have a "party" and tear this place "rpart"!

October 27, 2013
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Let’s have a "party" and tear this place "rpart"!

For many problems, classification and regression trees can be a simple and elegant solution, assuming you know their well-documented strengths and weaknesses.  I first explored their use several years ago with JMP, which is easy to use.  If y...

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Montreal R User Group – Dr. Ramnath Vaidyanathan on his rCharts package

October 27, 2013
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Montreal R User Group –  Dr. Ramnath Vaidyanathan on his rCharts package

Monday, October 28, 2013. 6:00pm at Notman House 51 Sherbrooke W., Montreal, QC. We are very pleased to welcome back Dr. Ramnath Vaidyanathan for a talk on interactive documents as it relates to his excellent rCharts package. Bringing a laptop to follow along is highly encouraged. I would recommend installing rCharts prior to the workshop. library(devtools) pkgs <- c(‘rCharts’, ‘slidify’, ‘slidifyLibraries’) install_github(pkgs, ‘ramnathv’, ref

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Symmetry in Williams designs

October 27, 2013
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Based on some comments I am looking at using symmetry to obtain Williams style designs. Symmetry allows reduction of the number of combinations examined hence faster calculation times. Two avenues are examined. Both work for a low number of treatments....

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Practical Data Science with R October 2013 update

October 26, 2013
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Practical Data Science with R October 2013 update

A quick status update on our upcoming book “Practical Data Science with R” by Nina Zumel and John Mount. We are really happy with how the book is coming out. We were able to cover most everything we hoped to. Part 1 (especially chapter 3) is already being used in courses, and has some very Related posts:

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How to switch from spreadsheets to R for data analysis

October 25, 2013
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To take a spreadsheet beyond what it's designed for — data presentation, summarization and simple calculations — into the world of complex data analysis can be an alluring prospect. But it can also be dangerous: consider these examples of spreadsheet errors that led to monumental financial losses, mistaken government policies, and even the wrong drugs being given to cancer...

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Combining Eugene Fama, rCharts, dygraphs, and scholar

October 25, 2013
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Combining Eugene Fama, rCharts, dygraphs, and scholar

What better way to end the week than to dump a lot of random topics into some experiments.  Here is what happened.

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