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Martin Frigaard

UCSF/KHRC
Research Associate
Oakland, CA

I do chronic kidney disease (ckd) research using electronic health records (ehr). I am currently enrolled in the Masters in Clinical Research program at UCSF. People should talk to me about Krav Maga, scotch, and anything related to data science.

9:00am PDT

Using Git and GitHub with R, Rstudio, and R Markdown (Part 1) Lyons & Lodato

10:30am PDT

Using Git and GitHub with R, Rstudio, and R Markdown (Part 2) Lyons & Lodato

1:00pm PDT

Using R with Jupyter notebooks for reproducible research (Part 1) SIEPR 120

2:30pm PDT

Using R with Jupyter notebooks for reproducible research (Part 2) SIEPR 120

8:00am PDT

Registration check-in McCaw Hall

10:30am PDT

R in machine learning competitions McCaw Hall

10:48am PDT

Connecting R to the OpenML project for Open Machine Learning McCaw Hall

11:42am PDT

jailbreakr: Get out of Excel, free McCaw Hall

1:00pm PDT

Continuous Integration and Teaching Statistical Computing with R SIEPR 130

2:12pm PDT

FiveThirtyEight's data journalism workflow with R McCaw Hall

2:30pm PDT

Bridging the Data Visualization to Digital Humanities gap: Introducing the Interactive Text Mining Suite Sponsor Pavilion Teaching statistics to medical students with R and OpenCPU Sponsor Pavilion

3:30pm PDT

Literate Programming McCaw Hall

4:45pm PDT

R at Microsoft McCaw Hall

5:03pm PDT

Deep Learning for R with MXNet SIEPR 130

5:39pm PDT

A Future for R Econ 140

8:00am PDT

Registration check-in McCaw Hall

9:00am PDT

Towards a grammar of interactive graphics McCaw Hall

10:30am PDT

Notebooks with R Markdown McCaw Hall

10:48am PDT

Meta-Analysis of Epidemiological Dose-Response Studies with the dosresmeta R package Lane & Lyons & Lodato

11:05am PDT

Maximum Monte Carlo likelihood estimation of conditional auto-regression models SIEPR 120

11:24am PDT

Heatmaps in R: Overview and best practices Barnes & McDowell & Cranston

11:42am PDT

Classifying Murderers in Imbalanced Data Using randomForest McCaw Hall

1:00pm PDT

R markdown: Lifesaver or death trap? McCaw Hall

2:05pm PDT

Making the R community more open Lane & Lyons & Lodato

2:30pm PDT

Reproducible research works_with_R Sponsor Pavilion

9:00am PDT

Statistical Thinking in a Data Science Course McCaw Hall

10:30am PDT

swirl-tbp: a package for interactively learning R programming and data science through the addition of 'template-based practice' problems in swirl Barnes & McDowell & Cranston

10:48am PDT

Authoring Books with R Markdown McCaw Hall

11:05am PDT

Using R at a rapidly scaling healthcare technology startup Econ 140

11:42am PDT

Using Jupyter notebooks with R in the classroom Barnes & McDowell & Cranston

1:00pm PDT

Estimating causal dose response functions using the causaldrf R package McCaw Hall

1:25pm PDT

Two Cultures: From Stata to R McCaw Hall

1:35pm PDT

Scalable Machine Learning in R with H2O Lane & Lyons & Lodato

2:00pm PDT

RCloud - Collaborative Environment for Visualization and Big Data Analytics McCaw Hall