3155 search results for "map"

Network visualization – part 3: Hive plots

September 15, 2013
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Network visualization – part 3: Hive plots

In the third part of “how to quickly visualize networks directly from R” series, I’ll write about the hive plots and “HiveR” package. The concept of hive plots is fundamentally different from the Cytoscape and Gephi plots. Cytoscape and Gephi … Continue reading →

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Census Atlas Japan

September 15, 2013
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Census Atlas Japan

The 2011 Census Open Atlas project has been put on hold recently as various other research projects have intervened - more on these soon. However, over the summer  Chris Brunsdon and I have taken a research trip to Ritsumeikan University (Japan) where we visited Keiji Yano and Tomoki Nakaya. As part of this trip I began developing...

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My first R Shiny Web Application using breast cancer data

September 14, 2013
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I love the idea of making non-R users playing with my datasets. Thanks to R Shiny package this is is now possible and I am going to post here my code for a simple web application.But first a few lines about Shiny package and my dataset. Okay…if you are in a hurry and want to go straight to check...

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Alpha Testing RevoScaleR running in Hadoop

September 13, 2013
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by Joseph Rickert At Revolution Analytics our mission is to establish R as the driver for Enterprise level computational frameworks. In part, this means that a data scientist ought to be able to develop an R based application in one context, e.g. her local PC, and then get it moving by changing horses on the fly (so to speak)...

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A technique for doing parametrized unit testing in R: Case study with stock price data analysis

September 13, 2013
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Ensuring the quality and correctness of statistical or scientific software in general constitute as one fo the main responsibilities of scientific software developers and scientists who provide a code to solve a specific computational task. Sometimes t...

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A technique for doing parameterized unit test in R: Case study with stock price data analysis

September 13, 2013
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Ensuring the quality and correctness of statistical or scientific software in general constitute as one for the main responsibilities of scientific software developers and scientists who provide a code to solve a specific computational task. Sometimes tasks could be mission critical. For example, in drug trails, clinical research or designing an aviation related component,  a wrong outcome would risk...

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The Problem with Percentiles

September 12, 2013
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The Problem with Percentiles

The Problem with Percentiles Percentiles (or, more accurately, quantiles) are deeply embedded in the psyche of actuaries, statisticians and similar beasts. They are referred to implicitly in the Solvency 2 directive (Article 100, Value at Risk) without explanation. They are so ingrained...

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In case you missed it: August 2013 Roundup

September 11, 2013
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In case you missed them, here are some articles from August of particular interest to R users: A tutorial on parallel programming with the foreach, doMC and doSNOW packages. Joe Rickert reviews R's capabilities for linear algebra, sparse matrices and big matrices. How R is disrupting the insurance industry with big data. Revolution Analytics has teamed with Cloudera to...

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Ce que je sais sur les séries temporelles (1/5)

September 9, 2013
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Ce que je sais sur les séries temporelles (1/5)

Ce que je sais sur les séries temporelles (1/5) En lisant la préface de Flore Vasseur à l'essai “le monde en 2030 vu par la CIA”, j'ai été très frappé par mon manque de culture macroéconomique. En effet, un essaiqui parle de...

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Maximum Likelihood Estimation and the Origin of Life

September 8, 2013
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Maximum Likelihood Estimation and the Origin of Life

# Maximum likelihood Estimation (MLE) is a powerful tool in econometrics which allows for the consistent and asymptotically efficient estimation of parameters given a correct identification (in terms of distribution) of the random variable. # It i...

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