1477 search results for "tutorial"

OpenCPU 1.0 release!

August 27, 2013
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OpenCPU 1.0 release!

After more than 3 years of development, we release the first official version of the OpenCPU system. Based on feedback and experiences from the beta series, OpenCPU version 1.0 has been rewritten entirely from scratch. The result is simple and flexible API that is easier to understand yet more powerful than before. With the new...

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Using JavaScript visualization libraries with R

August 26, 2013
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This is a short tutorial on knitr/markdown and JS visualization packages googleVis and rCharts. With these packages you can create web pages with interactive visualizations just using R. This will require minimal or no knowledge of HTML ...

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OpenCPU 1.0 release!

August 26, 2013
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After more than 3 years of development, we release the first official version of the OpenCPU system. Based on feedback and experiences from the beta series, OpenCPU version 1.0 has been rewritten entirely from scratch. The result is simple and flexible API that is easier to understand yet more powerful than before. With the new release also comes a new website and...

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Electronic lab notebook

August 20, 2013
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Electronic lab notebook

I was interested to read C. Titus Brown‘s recent post, “Is version control an electronic lab notebook?” I think version control is really important, and I think all computational scientists should have something equivalent to a lab notebook. But I think of version control as serving needs orthogonal to those served by a lab notebook.

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Step by step to build my first R Hadoop System

August 20, 2013
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Step by step to build my first R Hadoop System

by Yanchang Zhao, RDataMining.com After reading documents and tutorials on MapReduce and Hadoop and playing with RHadoop for about 2 weeks, finally I have built my first R Hadoop system and successfully run some R examples on it. My experience … Continue reading →

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Mapping Australian electoral divisions with ggplot2

August 18, 2013
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Mapping Australian electoral divisions with ggplot2

I’ve seen some creative visualisations of issues surrounding the Australian election recently though not as many maps as I expected. ‘ggplot2′ is the go-to package for plotting in R so I thought I’d see if I could plot the Australian electoral divisions with ggplot2. By using the Australian Electoral Commission’s GIS mapping coordinates and mutilating

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gridSVG Multi-line Data Bind with d3–US Treasury Yields

August 14, 2013
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gridSVG Multi-line Data Bind with d3–US Treasury Yields

If you have not read the other posts on gridSVG and d3, I recommend reading those before progressing to this one. Facets or strips are one of my favorite features of lattice and ggplot2, so of course I want to extend our d3 reverse data bind to support these small multiples.  Let’s see one way of accomplishing...

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Identifying Potential Customers with Classification Techniques in R Language

August 12, 2013
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Identifying Potential Customers with Classification Techniques in R Language

Data mining techniques and algorithms such as Decision Tree, Naïve Bayes, Support Vector Machine, Random Forest, and Logistic Regression are “most commonly used for predicting a specific outcome such as response / no-response, high / medium / low-value customer, likely to buy / not buy.”1 In this article, we will demonstrate how to use R

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Some belated spring cleaning

August 11, 2013
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Some belated spring cleaning

A very busy spring has transitioned into a very busy summer, so let me recap a few topics that probably deserve more time than I’ll give them here. Here are the things I’m overdue on, in no particular order: Publications In the March edition of the Journal of Risk, Kris Boudt, Brian Peterson and I

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In case you missed it: July 2013 Roundup

August 9, 2013
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In case you missed them, here are some articles from July of particular interest to R users: A new 90-second, creative commons video helps R enthusiasts share the history, community and applications of R. Analyst group Butler Analytics reviews 10 predictive analytics platforms, and says that "real analysts use R". An excellent example of Simpsons Paradox: US median wages...

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