Monthly Archives: January 2017

Create Your Own Siri, Cortana or Alexa: Part 1

January 30, 2017
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Summary In this blog post I will show you how to make your own personal assistant (think Siri, Cortana, Alexa) in R, very quickly. This will be done in three steps: Get R to recognise your voice and convert it...

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List of R conferences and user groups (2017-01-30)

January 30, 2017
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For 8 years now, we've maintained a list of local R user groups here at the Revolutions blog. This is a list that began with a single group (the Bay Area RUG, the first and still one of the largest groups), and now includes 360 user groups worldwide (including 27 specifically for women). As the list has grown in...

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Using R and satellite data to identify marine bioregions

January 30, 2017
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Using R and satellite data to identify marine bioregions

R has become an essential tool in oceanography and marine ecology. For instance, R is specifically used to read, process and represent in situ oceanographic data and to manage satellite data in order to produce high temporal and spatial resolution maps useful to synoptically explore and monitoring vast areas of the world oceans. In this post we briefly describe...

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Building and maintaining exams with dynamic content

January 30, 2017
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Building and maintaining exams with dynamic content

An introduction to package exams - Part of my job as a researcher and teacher is to periodically apply and grade exams in my classroom. Being constantly in the shoes of an examiner, you soon quickly realize that students are cleve...

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Using the Bizarro Pipe to Debug magrittr Pipelines in R

January 29, 2017
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Using the Bizarro Pipe to Debug magrittr Pipelines in R

I have just finished and released a new R video lecture demonstrating how to use the “Bizarro pipe” to debug magrittr pipelines. I think R dplyr users will really enjoy it. Please read on for the link to the video lecture. In this video lecture I use the “Bizarro pipe” to debug the example pipeline … Continue...

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New features in World Gender Statistics app

January 29, 2017
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In my last post, I built a shiny app to explore World Gender Statistics. To make it a bit nicer and more convenient, I added a few more features: The drop-down menu for Years is now reactive, i.e. it only shows options with data (all NA years are ...

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Empirical Software Engineering using R: first draft available for download

January 29, 2017
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A draft of my book Empirical Software Engineering using R is now available for download. The book essentially comes in two parts: statistical techniques that are useful for analyzing software engineering data. This draft release contains most of the techniques I plan to cover. I am interested in hearing about any techniques you think ought

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SCADA spikes in Water Treatment Data

January 29, 2017
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SCADA spikes in Water Treatment Data

SCADA data is essential in operating water treatment plants. Spikes in the data can indicate problems. How can you detect SCADA spikes using the R language? Continue reading → The post SCADA spikes in Water Treatment Data appeared first on The Devil is in the Data.

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Version Control, File Sharing, and Collaboration Using GitHub and RStudio

January 29, 2017
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Version Control, File Sharing, and Collaboration Using GitHub and RStudio

This is Part 3 of our “Getting Started with R Programming” series. For previous articles in the series, click here: Part 1, Part 2. This week, we are going to talk about using git and GitHub with RStudio to manage

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Data Science for Doctors – Part 1 : Data Display

January 29, 2017
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Data Science for Doctors – Part 1 : Data Display

Data science enhances people’s decision making. Doctors and researchers are making critical decisions every day, so it is obvious that those people must have a substantial knowledge of data science. This series aims to help people that are around medical field to enhance their data science skills. We will work with a health related database Related exercise sets:

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