Blog Archives

Report from Mexico City

September 20, 2017
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Report from Mexico City

Editors Note: It has been heartbreaking watching the images from México City. Teresa Ortiz, co-organizer of R-Ladies CDMX reports on efforts of data scientists to help. Our thoughts are with them, and with the people of México. It has been a hard couple of days around here. In less than 2 weeks, México has gone through two devastating earthquakes and the...

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Enterprise-ready dashboards with Shiny and databases

September 19, 2017
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Enterprise-ready dashboards with Shiny and databases

Inside the enterprise, a dashboard is expected to have up-to-the-minute information, to have a fast response time despite the large amount of data that supports it, and to be available on any device. An end user may expect that clicking on a bar or column inside a plot will result in either a more detailed report, or a list...

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Asset Contribution to Portfolio Volatility

September 12, 2017
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Asset Contribution to Portfolio Volatility

In our previous portfolio volatility work, we covered how to import stock prices, convert to returns and set weights, calculate portfolio volatility, and calculate rolling portfolio volatility. Now we want to break that total portfolio volatility into its constituent parts and investigate how each asset contributes to the volatility. Why might we want to do that? For our own risk management...

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Writing and Publishing my first R package

September 4, 2017
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Inspired by the Community One of the themes at useR 2017 in Brussels was “Get involved”. People were encouraged to contribute to the community, even when they did not consider themselves R specialists (yet). This could be by writing a package or a blog post, but also by simply correcting typos through pull requests, or sending a tweet about a...

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RStudio::Conf 2018

August 28, 2017
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RStudio::Conf 2018

It’s not even Labor Day, so it seems to be a bit early to start planning for next year’s R conferences. But, early-bird pricing for RStudio::Conf 2018 ends this Thursday. The conference which will be held in San Diego between January 31st and February 3rd promises to match and even surpass this year’s event. In addition to keynotes from Di...

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July 2017 New Package Picks

August 27, 2017
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July 2017 New Package Picks

Two hundred and twenty-four new packages were added to CRAN in July. Below are my picks for the “Top 40” packages arranged in eight categories: Machine Learning, Science, Statistics, Numerical Methods, Statistics, Time Series, Utilities and Visualizations. Science and Numerical Methods are categories that I have not used before. The idea behind the Science category is to find a...

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Control Systems Toolbox – System Interconnection

August 23, 2017
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Control Systems Toolbox – System Interconnection

Introduction Dynamic systems are usually represented by a model before they can be analyzed computationally. These dynamic systems are systems that change, evolve or have their states altered or varied with time based on a set of defined rules. Dynamic systems could be mechanical, electrical, electronic, biological, sociological, and so on. Many such systems are usually defined by a set...

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Learning things we already know about stocks

August 21, 2017
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Learning things we already know about stocks

This example groups stocks together in a network that highlights associations within and between the groups using only historical price data. The result is far from ground-breaking; you can already guess the output. For the most part, the stocks get grouped together into pretty obvious business sectors. Despite the obvious result, the process of teasing out latent groupings from historic...

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Chapman University DataFest Highlights

August 17, 2017
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Chapman University DataFest Highlights

Editor’s Note: The 2017 Chapman University DataFest was held during the weekend of April 21-23. The 2018 DataFest will be held during the weekend of April 27-29. DataFest was founded by Rob Gould in 2011 at UCLA with 40 students. In just seven years, it has grown to 31 sites in three countries. Have a look at Mine Çetinkaya-Rundel’s post...

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Visualizations with R and Databases

August 15, 2017
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Visualizations with R and Databases

The Challenge Visualizations are one of R’s strengths. There are many functions and packages that create complex plots, often with one simple command. These plotting functions do two things: first, they take the raw data and run the calculations needed for a given visualization, and second, they draw the plot. If the source of the data resides within a database,...

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