The SeaClass R Package The Operations Technology and Advanced Analytics Group (OTAAG) at Seagate Technology has decided to share an internal project that helps accelerate development of classification models. The interactive SeaClass tool is contained in an R-based package built using shiny and other CRAN packages commonly used for binary ...

There are many ways to query data with R. This post shows you three of the most common ways: Using DBI Using dplyr syntax Using R Notebooks Background Several recent package improvements make it easier for you to use databases with R. The query examples below demonstrate some of the ...

A recent paper in nature climate change: Less than 2°C warming by 2100 unlikely (Raftery et al. 2017), concludes that the goal of the Paris Agreement is unlikely to be met. Although the conclusion is disheartening, the paper advances the science of climate modeling by developing a joint Bayesian hierarchical model for ...

August was a relatively slow month for new R packages; “only” 180 new packages stuck to CRAN. Here are my “Top 40” picks organized into seven categories: Data, Machine Learning, Miscellaneous, Science, Statistics, Utilities and Visualizations. Although they have been written for specialized audiences, I have included the three “Science” packages because, ...

With roots dating back to at least 1662 when John Graunt, a London merchant, published an extensive set of inferences based on mortality records, survival analysis is one of the oldest subfields of Statistics [1]. Basic life-table methods, including techniques for dealing with censored data, were discovered before 1700 [2], and in the early ...

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 ...

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 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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

ggplot2 is kind of a household word for R users. I’ve ended up using it for complex data munging and wrangling work, where I needed to get clarity on different aspects of the data, especially being able to get different views, slices and dices of it, but in a ...

Judging from the number of JSM talks that incorporated interactive visualizations of some sort or another, it appears that interactive graphics have captured the attention of a good many statisticians. I found this a little surprising. Statisticians, on the whole, are not easily impressed by “eye candy”, and I believe ...