Monthly Archives: April 2019

Data Layout Exercises

April 27, 2019
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John Mount, Nina Zumel; Win-Vector LLC 2019-04-27 In this note we will use five real life examples to demonstrate data layout transforms using the cdata R package. The examples for this note are all demo-examples from tidyr/demo/, and are mostly based on questions posted to StackOverflow. They represent a good cross-section of data layout problems, … Continue reading Data...

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Setting up continuous multi-platform R package building, checking and testing with R-Hub, Docker and GitLab CI/CD for free, with a working example

April 27, 2019
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Setting up continuous multi-platform R package building, checking and testing with R-Hub, Docker and GitLab CI/CD for free, with a working example

Introduction In the previous post, we looked at how to easily automate R analysis, modeling, and development work for free using GitLab’s CI/CD. Together with the fantastic R-hub project, we can use GitLab CI/CD to do much more. In this post, we will take it to the next level by using R-hub to test our development work on many different platforms...

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A new image on DigitalOcean to start using RStudio Server without waiting more than 2 minutes

April 26, 2019
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At the end of the post there is a promotional link for free DigitalOcean credits. Motivation I initially made an close-access image for DigitalOcean because I wanted to spend my lectures and workshops giving useful examples and not solving software installation issues. Now you can use my RStudio image which available on DigitalOcean Marketplace, it costs $0 except for the cost...

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Robust measurement from a 2-way table

April 26, 2019
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I work in a university.  My department runs degree courses that allow students a lot of flexibility in their choice of course “modules”.  (A typical student takes 8 modules per year, and is assessed separately on each module). After the exams are finished each year, we promise our students to look carefully at the exam

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Frankfurt Data Science Meetup: Opening the Black Box

April 26, 2019
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Frankfurt Data Science Meetup: Opening the Black Box

We went to the Frankfurt Data Science Meetup where our Head of Data Science gave a talk about explainable AI. If you missed it, here are the main takeaways! Der Beitrag Frankfurt Data Science Meetup: Opening the Black Box erschien zuerst auf STATWORX.

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Checking reverse dependencies: the tiny way

April 26, 2019
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Checking reverse dependencies: the tiny way

The tools package that comes with base R makes checking reverse dependencies super easy. Build your package tarball (the pkg_x.y.z.tar.gz file). R CMD build /your/package/location It is a good idea to make sure that the tarball is in a dedicated … Continue reading →

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DALEX for keras and parsnip

April 26, 2019
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DALEX for keras and parsnip

DALEX is a set of tools for explanation, exploration and debugging of predictive models. The nice thing about it is that it can be easily connected to different model factories. Recently Michal Maj wrote a nice vignette how to use DALEX with models created in keras (an open-source neural-network library in python with an R … Czytaj dalej DALEX...

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Shiny v1.3.2

April 25, 2019
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Shiny v1.3.2

We’re excited to announce the release of Shiny v1.3.2. This release has two main features: a new reactivity debugging tool we call reactlog, and much faster serving of static file assets. Introducing reactlog: Visually debug your reactivity issues Debugging faulty reactive logic can be challenging, as we’ve written and talked about in the past. In particular, some of the most difficult...

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March 2019: “Top 40” New CRAN Packages

April 25, 2019
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March 2019: “Top 40” New CRAN Packages

By my count, two hundred and thirty-three packages stuck to CRAN last month. I have tried to capture something of the diversity of the offerings by selecting packages in ten categories: Computational Methods, Data, Machine Learning, Medicine, Science, Shiny, Statistics, Time Series, Utilities, and Visualization. The Shiny category contains packages that expand on Shiny capabilities, not just packages that...

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Couting Pairs

April 25, 2019
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Saw a tweet from (https://twitter.com/matt_pavlich) asking twitter roughly how many games he and David Mundy have played together. Thankfully, you don’t have to wonder anymore and you can reproduce the results yourself and do running counts for your favourite players! library(tidyverse) ## ── Attaching packages ─────────────────────────── tidyverse 1.2.1 ── ## ✔ ggplot2 3.1.1 ✔ purrr ...

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