February 2018

Analysing Digital Water Meter Data using the Tidyverse

February 7, 2018 | Peter Prevos

Many water utilities are implementing or considering digital metering. This article describes analysing digital water meter data using the data science Tidyverse library. Continue reading → The post Analysing Digital Water Meter Data using the Tidyverse appeared first on The Devil is in the Data.
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The plots thicken

February 7, 2018 | Carl

Data science tells a story through visualisation. Both story and visualisation rely on a good plot. And an abundance of those has evolved over time. Many have their own dedicated Wikipedia page! Which generate the most interest? How is the interest in each trending over time? The post The plots ...
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In case you missed it: January 2018 roundup

February 7, 2018 | David Smith

In case you missed them, here are some articles from January of particular interest to R users. Josh Katz and Peter Aldhous used R to analyze the content and presentation of the most recent State of the Union speech from the US president. Slides for my presentation "Speeding up R ... [Read more...]

Additional Thoughts on Estimating LGD with Proportional Odds Model

February 6, 2018 | statcompute

In my previous post (https://statcompute.wordpress.com/2018/01/28/modeling-lgd-with-proportional-odds-model), I’ve discussed how to use Proportional Odds Models in the LGD model development. In particular, I specifically mentioned that we would estimate a sub-model, which can be Gamma or Simplex regression, to project the conditional mean for LGD values in ... [Read more...]

#16: Complaining Works.

February 6, 2018 | Thinking inside the box

Welcome to the sixteenth post in the relatively random R related series of posts, or R4 for short. This one will likely be brief. But it is one post I have been meaning to get out for a little while---yet did not get around to. The meta point I am ... [Read more...]

Sample Entropy with Rcpp

February 6, 2018 | schochastics

Entropy. I still shiver when I hear that word, since I never fully understood that concept. Today marks the first time I was kind of forced to look into it in more detail. And by “in detail”, I mean I found a StackOverflow question that had something to do with ... [Read more...]

The AI Show: Data Science Virtual Machine

February 6, 2018 | David Smith

The Data Science Virtual Machine was featured on a recent episode of the AI Show with Seth Juarez and Gopi Kumar. If you want a quick and easy way to spin up a virtual machine with all of the data science tools you'll ever need — including R and RStudio — already ... [Read more...]

How to Import a CSV to an R Notebook

February 6, 2018 | Datazar

Adding a file to your R notebook is a simple 2 step process.1. “Import” file to notebook session.This makes sure your dataset is isolated in one state so that it doesn’t change as you analyze it. Remember, you can always load the latest content...
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Introducing the Kernelheaping Package

February 6, 2018 | INWT-Blog-RBloggers

In this blog article I'd like to introduce the univariate kernel density estimation for heaped (i.e. rounded or interval censored) data with the Kernelheaping package. It is not unusual to have interval censored data such as in income surveys due to anonymisation or simplification issues. However, a simple task ...
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SPE 2018

February 6, 2018 | Martyn

The 2018 edition of the long-running Statistical Practice in Epidemiology using R (SPE) course will take place in Lyon, Fance on 20-24 June 2018 at the International Agency for Research on Cancer. The deadline for applications is 1 April.
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PVA: Publication Viability Analysis, round 3

February 6, 2018 | Peter Solymos

A friend and colleague of mine, Péter Batáry has circulated news from Nature magazine about the EU freezing innovation funds to Bulgaria. The article had a figure about publication trends for Bulgaria, compared with Romania and Hungary. As I have blogged about such trends in ecology before (here ... [Read more...]

Setting up a version controlled shiny-server

February 5, 2018 | Roel M. Hogervorst

Last week I set up a shiny server, it was relatively easy! But I wanted something more, a way to make changes on my local computer and push it to the server. Shiny server (I used the open source version) has multiple installers provided by RStudio. The installers for shiny-server ... [Read more...]

The prequel to the drake R package

February 5, 2018 | rOpenSci - open tools for open science

The drake R package is a pipeline toolkit. It manages data science workflows, saves time, and adds more confidence to reproducibility. I hope it will impact the landscapes of reproducible research and high-performance computing, but I originally created it for different reasons. This post is the prequel to drake’s ...
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