4619 search results for "git"

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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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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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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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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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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Equity Market Risk Premium Around the World

October 25, 2013
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Equity Market Risk Premium Around the World

Over the years I have really enjoyed this very thorough IESE Business School survey of market risk premium around the world. Market Risk Premium and Risk Free Rate Used for 51 Countries in 2013A Survey with 6,237 Answers Fernandez, Pablo and Aguirream...

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xkcd: A webcomic of the internet, small talk, meta discussions, and whimsical phantasmagoria

October 25, 2013
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xkcd: A webcomic of the internet, small talk, meta discussions, and whimsical phantasmagoria

I've recently rediscovered my affection for xkcd , and what better way to show it than to perform a data analysis on the comic's archives. In this post, we use Latent Dirichlet Allocation (LDA) to mine for topics from xkcd strips, and see if it live...

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The case for data snooping

October 25, 2013
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The case for data snooping

When we are backtesting automated trading systems, accidental data snooping or look forward errors are an easy mistake to make. The nature of the error in this context is making our predictions using the data we are trying to predict. Typically, it comes from a mistake with our calculations of time offsets somewhere. However, it can be a...

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Table as an Image in R

October 24, 2013
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Table as an Image in R

Usually, it's best to keep tables as text, but if you're making a lot of graphics, it can be helpful to be able to create images of tables.PNG tableCreating the TableAfter loading the data, let's first use this trick to put line breaks between the leve...

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