Analysis of a Flash Flood

July 19, 2019
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Analysis of a Flash Flood

Flash floods seem to be increasing in many areas. This post will show how to download local USGS flow and precipitation data and generate a 3-panel chart of flow, gage height and precipitation. There was a tragic flash flood incident … Continue reading →

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Watch keynote presentations from the useR!2019 conference

July 19, 2019
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The keynote presentations from last week's useR!2019 conference in Toulouse are now available for everyone to view on YouTube. (The regular talks were also recorded and video should follow...

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How to make 3D Plots in R (from 2D Plots of ggplot2)

July 19, 2019
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How to make 3D Plots in R (from 2D Plots of ggplot2)

Are you interested in guest posting? Publish at DataScience+ via your editor (i.e., RStudio). Category Visualizing Data Tags Best R Packages Data Visualisation R Programming 3D Plots built in the right way for the right...

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What NOT to do when building a shiny app (lessons learned the hard way)

What NOT to do when building a shiny app (lessons learned the hard way)

I’ve been building R shiny apps for a while now, and ever since I started working with shiny, it has significantly increased the set of services I offer my...

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An R Users Guide to JSM 2019

July 18, 2019
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An R Users Guide to JSM 2019

If you are like me, and rather last minute about making a plan to get the most out of a large conference, you are just starting to think about...

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Dotplot – the single most useful yet largely neglected dataviz type

July 18, 2019
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Dotplot – the single most useful yet largely neglected dataviz type

I have to confess that the core message of this post is not really a fresh saying. But if I was given a chance to deliver one dataviz advise...

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Wordcloud of conference abstracts – FOSS4G Edinburgh

July 18, 2019
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Wordcloud of conference abstracts – FOSS4G Edinburgh

FOSS4G conference wordcloud of abstracts. Code included!

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RStudio Trainer Directory Launches

July 17, 2019
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Several dozen people have taken part in RStudio’s instructor training and certification program since it was announced earlier this year. Since our last update, many of them have completed...

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Plotting Bayes Factors for multiple comparisons using ggsignif

Plotting Bayes Factors for multiple comparisons using ggsignif

This week my post is relatively short and very focused. What makes it interesting (at least to me) is whether it will be seen as a useful “bridge” between frequentist methods...

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Processing satellite image collections in R with the gdalcubes package

July 17, 2019
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Processing satellite image collections in R with the gdalcubes package

The problem Introduction and overview of gdalcubes Installation Demo dataset Creating image collections Creating and processing data cubes Chaining data cube...

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rOpenSci Hiring for New Position in Statistical Software Testing and Peer Review

Are you passionate about statistical methods and software? If so we would love...

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Combining momentum and value into a simple strategy to achieve higher returns

July 17, 2019
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Combining momentum and value into a simple strategy to achieve higher returns

In this post I'll introduce a simple investing strategy that is well diversified and has been shown to work across different markets. In short, buying cheap and uptrending stocks...

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An Ad-hoc Method for Calibrating Uncalibrated Models

July 16, 2019
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An Ad-hoc Method for Calibrating Uncalibrated Models

In the previous article in this series, we showed that common ensemble models like random forest and gradient boosting are uncalibrated: they are not guaranteed to estimate aggregates or...

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Three Strategies for Working with Big Data in R

July 16, 2019
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Three Strategies for Working with Big Data in R

For many R users, it’s obvious why you’d want to use R with big data, but not so obvious how. In fact, many people (wrongly) believe that R just...

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101 Machine Learning Algorithms for Data Science with Cheat Sheets

July 16, 2019
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101 Machine Learning Algorithms for Data Science with Cheat Sheets

Your one-stop-shop for machine learning algorithms. Each algorithm is complete with a short description and links to examples. If you would like to take the algorithms with you, click...

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shinymeta — a revolution for reproducibility

July 16, 2019
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shinymeta — a revolution for reproducibility

Joe Cheng presented shinymeta enabling reproducibility in shiny at useR in July 2019. I am really thankful for this. This article shows a… Continue reading on Towards Data Science »

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Shiny Modules

July 16, 2019
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Shiny Modules

Tidiness is half the life .. this is a German saying that you might not necessarily...

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eRum2020 in Milan

July 16, 2019
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eRum2020 in Milan

The European R conference will visit Milan in 2020! Mirai Solutions is delighted to actively support and participate in the organization of the event. The European R Users Meeting (eRum)...

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Reinforcement Learning: Life is a Maze

July 16, 2019
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Reinforcement Learning: Life is a Maze

It can be argued that most important decisions in life are some variant of an exploitation-exploration problem. Shall I stick with my current job or look for a new...

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Bojack Horseman and Tidy Data Principles (Part 1)

July 15, 2019
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Bojack Horseman and Tidy Data Principles (Part 1)

Motivation After reading The Life Changing Magic of Tidying Text and A tidy text analysis of Rick and Morty I wanted to do something similar for Rick and Morty and...

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Pricing floating legs of interest rate swaps

Pricing floating legs of interest rate swaps

In this post we will close the trilogy on (old style) swap pricing. In particular, we will look at how downloading the data for the variable rate needed to...

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Aggregating spatial data with the grainchanger package

Aggregating spatial data with the grainchanger package

The grainchanger package provides functionality for data aggregation to a coarser resolution via moving-window or direct methods. Why do we need new methods for data aggregation? As landscape ecologists and macroecologists,...

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Estimating treatment effects (and ICCs) for stepped-wedge designs

July 15, 2019
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Estimating treatment effects (and ICCs) for stepped-wedge designs

In the last two posts, I introduced the notion of time-varying intra-cluster correlations in the context of stepped-wedge study designs. (See here and here). Though I generated lots of...

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Quick Hit: A Different (Diminutive) Look At Distributions With {ggeconodist}

July 15, 2019
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Quick Hit: A Different (Diminutive) Look At Distributions With {ggeconodist}

Despite being a full-on denizen of all things digital I receive a fair number of dead-tree print magazines as there’s nothing quite like seeing an amazing, large, full-color print...

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Is Scholarly Use of R Use Beating SPSS Already?

July 15, 2019
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Is Scholarly Use of R Use Beating SPSS Already?

by Bob Muenchen & Sean Mackinnon One of us (Muenchen) has been tracking The Popularity of Data Science Software using a variety of different approaches. One approach is to...

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Twitter coverage of the useR! 2019 conference

July 15, 2019
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Twitter coverage of the useR! 2019 conference

Very briefly: Last week was useR! conference time again, coming to you this time from Toulouse, France I’ve retrieved 8 318 tweets that mention #user2019 and run them through...

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Looking at flood insurance claims with choroplethr

July 14, 2019
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Looking at flood insurance claims with choroplethr

I recently learned how to use the choroplethr package through a short tutorial by the package author Ari Lamstein (youtube link here). To cement what I learned, I thought...

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Recreating ‘Unknown Pleasures’ graphic

July 14, 2019
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Recreating ‘Unknown Pleasures’ graphic

For some time I’ve wanted to recreate the cover art from Joy Division’s Unknown Pleasures album. The visualisation depicts successive pulses from the pulsar PSR B1919+21, discovered by Jocelyn...

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Distribution of Headline Sentiment

July 14, 2019
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Distribution of Headline Sentiment

My web scraping project explored the distribution of headline sentiment by news source. To do this, I scraped the Nasdaq latest market headlines page and applied sentiment analysis to...

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