Articles by jehrlinger

From Markdown to LaTeX output using RMarkdown.

January 28, 2015 | jehrlinger

I’ve been working on the ggRandomForests vignettes pretty consistently now. I’m writing the randomForestSRC-Survival vignette in LaTeX with the knitr vignette engine. I wrote the the randomForestSRC-Regression vignette in markdown. I’ve decided to upload the Regression vignette to arXiv for… Continue reading → [Read more...]

Testing, testing, testing!

January 8, 2015 | jehrlinger

R testthat unit tests with GitHub, Travis-CI continuous integration and the covr package for Coveralls code coverage. I’ve been working pretty hard on getting the ggRandomForests package wrapped up so I can work on some other projects that have as… Continue reading →
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Another release day: ggRandomForests V1.1.3

January 8, 2015 | jehrlinger

Continuing progress with the vignettes mean bug fixes in the code. Plus I’m presenting the regression random forest vignette to the stats group here tomorrow. I’ve got another blog post percolating that will detail the biggest change in this… ... [Read more...]

Christmas release: ggRandomForests V1.1.2

December 28, 2014 | jehrlinger

I’ve posted a new release of the ggRandomForests: Visually Exploring Random Forests to CRAN at ( The biggest news is the inclusion of some holiday reading – a ggRandomForests package vignette! ggRandomForests: Visually Exploring a Random Forest for Regression The vignette… Continue reading → [Read more...]

Look! It’s your data!

December 10, 2014 | jehrlinger

If a picture is worth a thousand words, then how many tables are a single visualization worth? Exploratory data analysis is a great way to see what is and is not in your dataset. I work in a hospital research… Continue reading →
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Parallel execution of randomForestSRC

February 13, 2013 | jehrlinger

I guess I’m the resident expert on resampling methods at work. I’ve been using bagged predictors and random forests for a while, and have recently been using the randomForestSRC (RF-SRC) package in R ( This package merges the two randomForest… Continue reading → [Read more...]

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