1697 search results for "excel"

Where’s the Magic? (EMD and SSA in R)

September 17, 2013
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Where’s the Magic? (EMD and SSA in R)

When I first heard of SSA (Singular Spectrum Analysis) and the EMD (Empirical Mode Decomposition) I though surely I’ve found a couple of magical methods for decomposing a time series into component parts (trend, various seasonalities, various cycles, noise). And … Continue reading →

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Who uses E-Bikes in Toronto? Fun with Recursive Partitioning Trees and Toronto Open Data

September 12, 2013
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Who uses E-Bikes in Toronto?  Fun with Recursive Partitioning Trees and Toronto Open Data

I found a fun survey released to the Toronto Open Data website that investigates the travel/commuting behaviour of Torontonians, but with a special focus on E-bikes.  When I opened up the file, I found various demographic information, in addition to a … Continue reading →

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Direction of Change Forecasting using a Dynamic Binary Model

September 12, 2013
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Direction of Change Forecasting using a Dynamic Binary Model

While it is generally accepted that the returns of financial assets are almost impossible to forecast with any degree of accuracy which would provide meaningful profit1 , there is evidence that the sign of the returns is much more forecastable. Theoretically, Christoffersen and Diebold (2006) have shown how the forecastability of the sign is related

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An animated peek into the workings of Bayesian Statistics

September 9, 2013
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An animated peek into the workings of Bayesian Statistics

One of the practical challenges of Bayesian statistics is being able to deal with all of the complex probability distributions involved. You begin with the likelihood function of interest, but once you combine it with the prior distributions of all the parameters, you end up with a complex posterior distribution that you need to characterize. Since you usually can't...

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The Problem with Percentiles

September 8, 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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Easy 3-Minute Guide to Making apply() Parallel over Distributed Grids and Clusters in R

September 1, 2013
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Easy 3-Minute Guide to Making apply() Parallel over Distributed Grids and Clusters in R

Last week I attended a workshop on how to run highly parallel distributed jobs on the Open Science Grid (osg). There I met Derek Weitzel who has made an excellent contribution to advancing R as a high performance computing language by developing BoscoR. BoscoR greatly facilitates the use of the already existing package “GridR” by The post Easy...

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MLB Rankings Using the Bradley-Terry Model

August 31, 2013
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MLB Rankings Using the Bradley-Terry Model

Today, I take my first shots at ranking Major League Baseball (MLB) teams. I see my efforts at prediction and ranking an ongoing process so that my models improve, the data I incorporate are more meaningful, and ultimately my predictions are largely accurate. For the first attempt, let’s rank MLB teams using the Bradley-Terry (BT) model. Before we discuss the rankings, we need...

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Increasing Repeat Purchase Rate by Analyzing Customer Latency

August 28, 2013
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Increasing Repeat Purchase Rate by Analyzing Customer Latency

For online businesses, Repeat Purchase Rate is one of the critical metrics of the business performance. Higher repeat purchase rate means more active members, and thus leads to higher profit. “Customer Latency refers to the average time between customer activity events, for example, making a purchase, calling the help desk, or visiting a web site”1,

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Visualizing the Forbes-CCAP University Rankings using ggplot2, rCharts, googleVis, and the shiny server

August 27, 2013
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Visualizing the Forbes-CCAP University Rankings using ggplot2, rCharts, googleVis, and the shiny server

President Obama is pushing for higher education reform and the development of a rating system for Universities is a critical component of it. These ratings are likely to be based on several measures, such as graduation rates, earnings of graduates, and...

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Fantastic presentations from R using slidify and rCharts

August 27, 2013
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Fantastic presentations from R using slidify and rCharts

Dr. Ramnath Vaidyanathan of McGill University gave an excellent presentation at a joint Data Visualization DC/Statistical Programming DC event on Monday, August 19 at nclud, on two R projects he leads — slidify and rCharts. After the evening, all I can say … Continue reading → The post Fantastic presentations from R using slidify and rCharts appeared first on

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