2490 search results for "MAP"

Where is the R Activity?

June 10, 2013
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Where is the R Activity?

R has become one of the world’s most widely used

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Better Neighborhoods with R: Exploring and Analyzing SeeClickFix Data (part 1)

June 9, 2013
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Better Neighborhoods with R: Exploring and Analyzing SeeClickFix Data (part 1)

Better Neighborhoods with R: Exploring and Analyzing SeeClickFix Data (part 1) The ‎ National Day of Civic Hacking took place …Continue reading »

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Mahout for R Users

June 9, 2013
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Mahout for R Users

I have a few posts coming up on Apache Mahout so I thought it might be useful to share some notes. I came at it as primarily an R coder with some very rusty Java and C++ somewhere in the back of my head so that will be my point of reference. I’ve also included … Continue reading...

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A Shiny App Goes Viral

June 7, 2013
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A Shiny App Goes Viral

I am not sure how many of you have seen this Business Insider article.  It is basically about a shiny app created by Joshua Katz as NC State.  It is really fun playing with shiny app.With nearly a million facebook likes this web app buil...

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A Big Data introduction

June 5, 2013
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Since R uses the computer RAM, it may handle only rather small sets of data. Nevertheless, there are some packages that allow to treat larger volumes and the best solution is to connect R with a Big Data environment. This … Continue reading →

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Collecting geocoded tweets with R and Java

June 4, 2013
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Collecting geocoded tweets with R and Java

Number of tweets in different languages posted around GermanyThere are many thing one can do with tweets (sentiment analysis, maps, ...). This entry shows you how you can access the publicly available API using Java and how to analyse the data using R....

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Cosmopolitan Public Spaces

June 2, 2013
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Cosmopolitan Public Spaces

In my PhD and post-doc research projects at the university, I did a lot of research on the new cosmopolitanism together with Ulrich Beck. Our main goal was to test the hypothesis of an “empirical cosmopolitanization”. Maybe the term is confusing and too abstract, but what we were looking for were quite simple examples

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Facet wrapping multivariate data: reshape and ggplot

June 2, 2013
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Facet wrapping multivariate data: reshape and ggplot

A common problem when trying to show data is that the attributes that you want to map for comparison are stored in multiple rather than single variables. For example, proportion of employment by type. This practical will achieve tis using … Continue reading →

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Grid Search for Free Parameters with Parallel Computing

June 1, 2013
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Grid Search for Free Parameters with Parallel Computing

In my previous post (http://statcompute.wordpress.com/2013/05/25/test-drive-of-parallel-computing-with-r) on 05/25/2013, I’ve demonstrated the power of parallel computing with various R packages. However, in the real world, it is not straight-forward to utilize these powerful tools in our day-by-day computing tasks without carefully formulate the problem. In the example below, I am going to show how to use the

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Flotsam 12: early June linkathon

June 1, 2013
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A list of interesting R/Stats quickies to keep the mind distracted: A long draft Advanced Data Analysis from an Elementary Point of View by Cosma Shalizi, in which he uses R to drive home the message. Not your average elementary point of view. Good notes by Frank Davenport on starting using R with data from

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