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. http://cran.r-project.org/web/packages/ggRandomForests/index.html 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 (http://cran.r-project.org/package=ggRandomForests) 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 (http://cran.r-project.org/web/packages/randomForestSRC). This package merges the two randomForest… Continue reading → [Read more...]

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