2018-09 Importing General-Purpose Graphics in R

September 19, 2018
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This report discusses some problems that can arise when attempting to import PostScript images into R, when the PostScript image contains coordinate transformations that skew ...

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New Skill Track: Tidyverse Fundamentals with R

September 19, 2018
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New Skill Track: Tidyverse Fundamentals with R

Here is the track link. Track Details In this track, you’ll learn the skills needed to get you up and running with data science in R using the tidyverse. The tidyverse...

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Taking a Tour of the Pirate Ship ‘GitHub DMCA’ with R

September 19, 2018
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Taking a Tour of the Pirate Ship ‘GitHub DMCA’ with R

Despite having sailed through the core components of this year’s Talk Like A Pirate Day R post a few months ago, time has been an enemy of late so...

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Official release of shiny.router and its new features

September 19, 2018
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Official release of shiny.router and its new features

In a web application, routing is the process of using URLs to drive the user interface. Routing adds more possibilities and flexibility while building a complex and advanced web...

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LTV prediction for a recurring subscription with R

September 19, 2018
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LTV prediction for a recurring subscription with R

Customers lifetime value (LTV or CLV) is one of the cornerstones of product analytics because we need to make a lot of decisions for which the LTV is a...

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Radix for R Markdown

September 18, 2018
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Radix for R Markdown

Today we’re excited to announce Radix, a new R Markdown format optimized for scientific and technical communication. Features of Radix include: Reader-friendly typography that adapts well to mobile devices. Flexible figure...

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November 8th & 9th in Munich: Workshop on Deep Learning with Keras and TensorFlow in R

September 18, 2018
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November 8th & 9th in Munich: Workshop on Deep Learning with Keras and TensorFlow in R

Registration is now open for my 1.5-day workshop on deep learning with Keras and TensorFlow using R. It will take place on November 8th & 9th in Munich, Germany. You can...

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I’ll be talking about ‘Decoding The Black Box’ at the Frankfurt Data Science Meetup

September 18, 2018
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I have yet another Meetup talk to announce: On Wednesday, October 26th, I’ll be talking about ‘Decoding The Black Box’ at the Frankfurt Data Science Meetup. Particularly cool with this meetup...

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Le Monde puzzle [#1066]

September 18, 2018
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Le Monde puzzle [#1066]

The second Le Monde mathematical puzzle in the new competition is sheer trigonometry: When in the above figures both triangles ABC are isosceles and the brown segments are all...

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«smooth» package for R. Intermittent state-space model. Part I. Introducing the model

September 18, 2018
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«smooth» package for R. Intermittent state-space model. Part I. Introducing the model

Intro One of the features of functions of smooth package is the ability to work with intermittent data and the data with periodically occurring zeroes. Intermittent time series is...

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Not Hotdog: A Shiny app using the Custom Vision API

September 18, 2018
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Not Hotdog: A Shiny app using the Custom Vision API

I had a great time at the EARL Conference in London last week, and as always came away invigorated by all of the applications of R that were presented...

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Snakes in a Package: combining Python and R with reticulate

September 18, 2018
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Snakes in a Package: combining Python and R with reticulate

When I first started working as a data scientist (or something like it) I was told to program in C++ and Java. Then R came along and it was...

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Case Study: How To Build A High Performance Data Science Team

September 18, 2018
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Case Study: How To Build A High Performance Data Science Team

Artificial intelligence (AI) has the potential to change industries across the board, yet few organizations are able to capture its value and realize a real return-on-investment. The reality is...

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Dot-Pipe Paper Accepted by the R Journal!!!

September 17, 2018
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Dot-Pipe Paper Accepted by the R Journal!!!

We are thrilled to announce our (my and Nina Zumel’s) paper on the dot-pipe has been accepted by the R-Journal! A huge “thank you” to the reviewers and editors...

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Machine Learning for Insurance Claims

September 17, 2018
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Machine Learning for Insurance Claims

We are pleased to announce a new demo Shiny application that uses machine learning to predict annual payments on individual insurance claims for 10 years into the future. This post...

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Building Reproducible Data Packages with DataPackageR

Building Reproducible Data Packages with DataPackageR

Sharing data sets for collaboration or publication has always been challenging, but it’s become increasingly problematic as complex and high dimensional data sets have become ubiquitous in the life...

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Access the Internet Archive Advanced Search/Scrape API with wayback (+ a links to a new vignette & pkgdown site)

September 17, 2018
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Access the Internet Archive Advanced Search/Scrape API with wayback (+ a links to a new vignette & pkgdown site)

The wayback🔗 package has had an update to more efficiently retrieve mementos and added support for working with the Internet Archive’s advanced search+scrape API. Search/Scrape The search/scrape interface lets...

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Principal Component Momentum?

September 17, 2018
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Principal Component Momentum?

This post will investigate using Principal Components as part of a momentum strategy. Recently, I ran across a post from … Continue reading →

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Break Down: model explanations with interactions and DALEX in the BayArea

September 17, 2018
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Break Down: model explanations with interactions and DALEX in the BayArea

The breakDown package explains predictions from black-box models, such as random forest, xgboost, svm or neural networks (it works for lm and glm as well). As a result you...

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3D Correspondence Analysis Plots in R Using Plotly

September 17, 2018
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Back in the “olden days” of the 1970s it was apparently not unknown for statisticians to create 3D visualizations using tinkertoys. For some inexplicable reason, the advent...

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Becoming a Data Scientist (Transcript)

September 17, 2018
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Becoming a Data Scientist (Transcript)

Here is a link to the podcast. Introducing Renée Teate Hugo: Hi there, Renée, and welcome to DataFramed. Renée: Hi Hugo. Great to be here. Hugo: ...

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Data visualization with statistical reasoning: seeing uncertainty with the bootstrap

September 17, 2018
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Data visualization with statistical reasoning: seeing uncertainty with the bootstrap

This blog post is one of a series highlighting specific images from my book Data Visualization: charts, maps and interactive … More

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Step Up your Dashboard with shinydashboard: Exercises (Part-2)

September 17, 2018
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Step Up your Dashboard with shinydashboard: Exercises (Part-2)

The shinydashboard provides a well-designed dashboard theme for Shiny apps, and allows for an easy assembly of a dashboard from a couple of basic building blocks. The package is...

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Why Vectorize?

September 16, 2018
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In the post (https://statcompute.wordpress.com/2018/09/15/how-to-avoid-for-loop-in-r), I briefly introduced the idea of vectorization and potential use cases. One might be wondering why we even need the Vectorize() function given the fact...

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I’ll be talking at the R-Ladies Meetup about Interpretable Deep Learning with R, Keras and LIME

September 16, 2018
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Today I am very happy to announce that during my stay in London for the m3 conference, I’ll also be giving a talk at the R-Ladies London Meetup on...

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How to create a sequential model in Keras for R

September 16, 2018
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How to create a sequential model in Keras for R

This tutorial will introduce the Deep Learning classification task with Keras. With focus on one-hot encoding, layer shapes, train & evaluate the model.How to create a sequential model in Keras...

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Data visualisation pitfalls: how to avoid barbarplots ?

September 16, 2018
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Data visualisation pitfalls: how to avoid barbarplots ?

You did an experiment or a survey, or you collected data, and you are ready to analyse them. But what is the first step? Everyone will tell you that...

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Parameterizing with bquote

September 16, 2018
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One thing that is sure to get lost in my long note on macros in R is just how concise and powerful macros are. The problem is macros are...

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Statistics Sunday: What Should I Read Next?

September 16, 2018
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When You Need a New Book to Read I log all of my books on Goodreads. On top of that, whenever I hear about a new book I...

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