1821 search results for "tutorial"

Quantitative Finance Applications in R

December 27, 2013
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Quantitative Finance Applications in R

by Daniel Hanson, QA Data Scientist, Revolution Analytics Extracting Financial Data from Internet Source Using R (first in a series) Earlier this month, a colleague and I attended a presentation on Computational Finance in R, given by Guy Yollin of the University of Washington Applied Mathematics faculty, at a meeting of the Seattle useR Group. The first among several...

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The Mascots of Bayesian Statistics

December 25, 2013
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The Mascots of Bayesian Statistics

Why would Bayesian statistics need a mascot/symbol/logo? Well, why not? I don’t know of any other branch of statistics that has a mascot but many programming languages have. R has an “R”, Python has a python snake, and Go has an adorable little gopher. While Bayesian statistics isn’t a programming language it could be characterized as...

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Financial Data Accessible from R – part IV

December 13, 2013
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DataMarket is the latest data source of financial data accessible from R I came across. A good tutorial can be found here. I updated the table and the descriptions below. Source R Package Free Access Available on CRAN Provider url Yahoo, FRED, Oanda, Google Quantmod Yes Yes Quantmod Quandl Quandl Yes Yes Quandl TrueFX TFX

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Geomorph 1.1-5 Now available!

December 13, 2013
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Geomorph users,We have uploaded version 1.1-5 to CRAN. The windows binary has been compiled and the tarball is available. The MAC OSX binary may take a few days (mac users can install the package from source using the tar.gz file). The PDF of helpfiles has not yet been updated - as of 10am CST Dec 13 2013.In...

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Understanding the data analytics project life cycle

December 12, 2013
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Understanding the data analytics project life cycle

While dealing with the data analytics projects, there are some fixed tasks that should be followed to get the expected output. So here we are going to build a data analytics project cycle, which will be a set of standard data-driven processes to lead data to insights effectively. The defined data analytics processes of a The post Understanding...

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Part 3: Random Forests and Model Selection Considerations

December 10, 2013
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Part 3:  Random Forests and Model Selection Considerations

I want to wrap this series up on the breast cancer data set and move on to other topics.  Here I will include the random forest technique and evaluate all three modeling techniques together, including the conditional inference tree and bootstrap a...

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In case you missed it: November 2013 Roundup

December 10, 2013
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In case you missed them, here are some articles from October of particular interest to R users: A recap of the Strata Hadoop World conference, including presentations from Monsanto and eHarmony on their use of R. How to rank and chart the most frequent hashtags of Twitter users with R. A replay of the What’s new in Revolution R...

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Build your own Twitter Archive and Analyzing Infrastructure with MongoDB, Java and R [Part 2] [Update]

December 9, 2013
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Build your own Twitter Archive and Analyzing Infrastructure with MongoDB, Java and R [Part 2] [Update]

Hello everybody, in my first tutorial I described how you can build your own MongoDB and use a JAVA program to mine Twitter either via the search function and a loop or via the Streaming API. But till now you just have your tweets stores in a Database and we couldn´t get any insight in our …

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Introduction to Spatial Data and ggplot2

December 9, 2013
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Introduction to Spatial Data and ggplot2

For those starting out with spatial data in R, Robin Lo

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analyze the program for international student assessment (pisa) with r and monetdb

December 9, 2013
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the authoritative source for evaluating educational achievement across nations, the program(me) for international student assessment ranks the math, science, and reading skills of 15-year-olds in more than sixty countries.  coordinated by the orga...

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