Blog Archives

R code to accompany Real-World Machine Learning (Chapter 6): Making Predictions

May 13, 2017
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R code to accompany Real-World Machine Learning (Chapter 6): Making Predictions

Abstract In the latest update to the rwml-R Github repo, R code is provided to complete the analysis of New York City taxi data from Chapter 6 of the book “Real-World Machine Learning” by Henrik Brink, Joseph W. Richards, and Mark Fetherolf. Examp...

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R code to accompany Real-World Machine Learning (Chapter 6): Exploring NYC Taxi Data

April 22, 2017
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R code to accompany Real-World Machine Learning (Chapter 6): Exploring NYC Taxi Data

Abstract The rwml-R Github repo is updated with R code for exploratory data analysis of New York City taxi data from Chapter 6 of the book “Real-World Machine Learning” by Henrik Brink, Joseph W. Richards, and Mark Fetherolf. Examples given includ...

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R code to accompany Real-World Machine Learning (Chapter 5): Event Modeling

April 8, 2017
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R code to accompany Real-World Machine Learning (Chapter 5): Event Modeling

Abstract The rwml-R Github repo is updated with R code for the event modeling examples from Chapter 5 of the book “Real-World Machine Learning” by Henrik Brink, Joseph W. Richards, and Mark Fetherolf. Examples given include reading large data files with the fread function from data.table, optimization of model parameters with caret, computing and plotting ROC curves with ggplot2, engineering...

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Reactive acronym list in stratvis, a timevis-based Shiny app

December 29, 2016
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Reactive acronym list in stratvis, a timevis-based Shiny app

Abstract I present a method for reactively updating a table of acronyms from a Shiny interactive timeline using renderDataTable and timevis. The method is used in the new Shiny app, stratvis. The stratvis app The stratvis Shiny app provides a rich a...

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R code to accompany Real-World Machine Learning (Chapters 2-4 Updates)

December 28, 2016
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R code to accompany Real-World Machine Learning (Chapters 2-4 Updates)

Abstract I updated the R code to accompany Chapter 2-4 of the book “Real-World Machine Learning” by Henrik Brink, Joseph W. Richards, and Mark Fetherolf to be more consistent with the listings and figures as presented in the book. rwml-R Chapters...

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R code to accompany Real-World Machine Learning (Chapter 4)

October 22, 2016
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R code to accompany Real-World Machine Learning (Chapter 4)

Abstract In the latest update to the rwml-R Github repo, I provide R code to accompany Chapter 4 of the book “Real-World Machine Learning” by Henrik Brink, Joseph W. Richards, and Mark Fetherolf. Topics covered include optimization of model parame...

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R code to accompany Real-World Machine Learning (Chapter 3)

October 15, 2016
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R code to accompany Real-World Machine Learning (Chapter 3)

Abstract The rwml-R Github repo is updated with R code to accompany Chapter 3 of the book “Real-World Machine Learning” by Henrik Brink, Joseph W. Richards, and Mark Fetherolf. Survivors on the Titanic The Titanic Passengers dataset is used to i...

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R code to accompany Real-World Machine Learning (Chapter 2)

October 1, 2016
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R code to accompany Real-World Machine Learning (Chapter 2)

Abstract Introduces my Github repo providing R code to accompany the book “Real-World Machine Learning”. Introducing rwml-R The book “Real-World Machine Learning” attempts to prepare the reader for the realities of machine learning. ...

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Install all required R packages on your Shiny server

March 13, 2016
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Install all required R packages on your Shiny server

Abstract I give a walkthrough of a bash script that installs all of the R packages required by an R program (e.g., Shiny app, R file, R markdown file). This is useful for speeding up the workflow of adding a new Shiny app to a server. Why do we need a script? As explained in Dean Attali’s excellent post on how to...

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Multiple regression lines in ggpairs

February 16, 2016
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Multiple regression lines in ggpairs

Abstract Plots including multiple regression lines are added to a matrix of plots generated with the GGally package in R.1 Background Built upon ggplot2, GGally provides templates for combining plots into a matrix through the ggpairs function. Such...

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