Monthly Archives: July 2014

Shiny 0.10.1

July 31, 2014
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Shiny 0.10.1

Shiny v0.10.1 has been released to CRAN. You can either install it from a CRAN mirror, or update it if you have installed a previous version. install.packages('shiny', repos = 'http://cran.rstudio.com') # or update your installed packages # update.packages(ask = FALSE, repos = 'http://cran.rstudio.com') The most prominent change in this patch release is that we added full

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Adjusted Momentum

July 31, 2014
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Adjusted Momentum

David Varadi has published two excellent posts / ideas about cooking with momentum: VIX-Adjusted Momentum Error-Adjusted Momentum I just could not resist the urge to share these ideas with you. Following is implementation using the Systematic Investor Toolbox. Please enjoy and share your ideas with David and myself. To view the complete source code for

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yocto benchmarking

July 31, 2014
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yocto benchmarking

Let's start with a picture of a bench, as we're going to do some benchmarking. One of my take home message from useR was that we are going to have to do things in parallel. JJ set the motion with the RcppParallel package. The inceptive example for...

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A Data Scientist’s and R User’s Guide to the JSM

July 31, 2014
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by Joseph Rickert The Joint Statistical Meetings (JSM) get underway this weekend in Boston and Revolution Analytics is again proud to be a sponsor. More than 6,000 statisticians and data scientists from around the world are expected to attend and listen to thousands of presentations. It is true that many talks will be on specialized topics that only statisticians...

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Plot with ggplot2, interact, collaborate, and share online

July 31, 2014
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Plot with ggplot2, interact, collaborate, and share online

Editor’s note: This is a guest post by Marianne Corvellec from Plotly. This post is based on an interactive Notebook (click to view) she presented at the R User Conference on July 1st, 2014. Plotly is a platform for making, editing, and sharing graphs. If you are used to making plots with ggplot2, you can

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httr 0.4

July 31, 2014
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httr 0.4

httr 0.4 is now available on CRAN. The httr packages makes it easy to talk to web APIs from R. The most important new features are two new vignettes to help you get started and to help you make wrappers for web APIs. Other important improvements include: New headers() and cookies() functions to extract headers

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Eighth Torino R net meeting and free R for data analysis course

July 31, 2014
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Eighth Torino R net meeting and free R for data analysis course

On 17 September 2014 – 14:00 there will be a free R for data analysis course and starting at 16:30 there will be the Eighth Torino R net meeting. Events will take place at Campus Luigi Einaudi, Università degli Studi di Torino. Torino R net will be … Continue reading →

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Presentations of the seventh Torino R net meeting are online

July 31, 2014
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Presentations of the seventh Torino R net meeting are online

Presentations of the seventh Torino R net meeting are now available on line, section Downloads. Thank you to all who attended the meeting on Thursday 27th March in Asti and special thanks to presenters. … Continue reading →

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Simulating species abundance data with coenocliner

July 31, 2014
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Simulating species abundance data with coenocliner

Coenoclines are, according to the Oxford Dictionary of Ecology (Allaby 1998), “gradients of communities (e.g. in a transect from the summit to the base of a hill), reflecting the changing importance, frequency, or other appropriate measure of different species populations”. In much ecological research, and that of related fields, data on these coenoclines are collected and analyzed in a variety...

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Insert random NAs in a vector in R

July 30, 2014
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Insert random NAs in a vector in R

I was recently writing a function which was going to need to deal with NAs in some kind of semi-intelligent way. I wanted to test it with some fake data, meaning that I was going to need a vector with some random NAs sprinkled in. After a few disappointing google searches and a stack overflow

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