Monthly Archives: October 2012

Can We Live Without Backslashes?

October 30, 2012
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Can We Live Without Backslashes?

Two months ago there was a discussion in the ESS mailing list about Emacs/ESS started by Paul Johnson, who claimed "Emacs Has No Learning Curve". While this sounds impossible, he really has some good points, e.g. he encourages beginners to look at the ...

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Tracking Hurricane Sandy with Open Data and R

October 29, 2012
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Tracking Hurricane Sandy with Open Data and R

Hurricane Sandy is shaping up to be a major, and very dangerous, meteorological event for the US's East coast. Naturally, everyone is looking for the latest information and forecasts. Fortunately, the wealth of public meteorological data available on the open web, combined with real-time on-the-ground updates via social media, means that an ecosystem of on-line apps is now available...

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Working with Shootout – 2012 in R (001)

October 29, 2012
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Working with Shootout – 2012 in R (001)

I have downloaded (from the IDRC) the ASCI files of the Shootout 2012 (see: Shootout 2012 files), so I can work with the data  to develop a model and predict a Validation Set.For that task I have a "Calibration Set", and a  "Test Se...

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Temporal network of information diffusion in Twitter

October 29, 2012
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Millions of tweets, retweets and mentions are exchanged in Twitter everyday about very different subjects, events, opinions, etc. While aggregating this data over a time window might help to understand some properties of those processes in online social networks, the … Continue reading →   Related posts: Temporal...

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Pull Yahoo Finance Key-Statistics Instantaneously Using XML and XPath in R

October 29, 2012
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Pull Yahoo Finance Key-Statistics Instantaneously Using XML and XPath in R

This two-part blog post I published a day ago required key-stats from Yahoo Finance for all the companies in the control group I created for my research.  I wanted all the key-stats pulled, arranged in a data-frame and then present them side-...

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ggplot2 Pinterest

October 29, 2012
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I don’t understand the website Pinterest, but it looks pretty (especially on the iPad), and an undergraduate student said it was the greatest thing since Facebook, so I thought I would give it a shot. The idea is that Pinterest … Continue reading →

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lag function for data frames

October 29, 2012
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lag function for data frames

When applying the stats::lag() function to a data frame, you probably expect it will pad the missing time periods with NA, but lag() doesn’t. For example: Nothing happened. Here is an alternative lag function made for this situation. It pads … Continue reading →

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Charting Wikipedia interest in GOP candidates with googleVis

October 29, 2012
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I recently posted an article on how to collate Wikipedia page views As there is a time component to this, it seemed appropriate to use the googleVis Package to visualize changes in page hits in the Google Motion chart For this exercise, I ran the wikiFun function covered in the last post to collate page

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Montreal R User Group meetup Nov. 14th

October 29, 2012
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Montreal R User Group meetup Nov. 14th

After a bit of a summer lull, the Montreal R User Group is meeting up again! We’re trying out a new venue this time. Notman House is the home of the web in Montreal. They hold hackathons and other tech user group meetups, and they are all around great people in an all around great

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Terrain Attributes with the raster package

October 29, 2012
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Terrain attributes can be derived by elevation values on a small neighbourhood of each DEM point.The major attributes can be calculated from the derivatives of the topographic surface. These derivatives measure the rate of change in elevation in relati...

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