drewdimmery.com

Drew Dimmery - Drew Dimmery

I completed my PhD in the Wilf Family Department of Politics. At New York University. My work is primarily on statistical methodologies to improve causal inference. I focus on the confluence of machine learning and experimental design. I work with Facebook’s Experiments and Causal Inference group in Core Data Science. JIT compilation in R. Introducing the `rdd' package (beta). Performance Tip in R. Package Development in R (on Windows).

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Drew Dimmery - Drew Dimmery | drewdimmery.com Reviews

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I completed my PhD in the Wilf Family Department of Politics. At New York University. My work is primarily on statistical methodologies to improve causal inference. I focus on the confluence of machine learning and experimental design. I work with Facebook’s Experiments and Causal Inference group in Core Data Science. JIT compilation in R. Introducing the `rdd' package (beta). Performance Tip in R. Package Development in R (on Windows).

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Drew Dimmery - Drew Dimmery | drewdimmery.com Reviews

https://drewdimmery.com

I completed my PhD in the Wilf Family Department of Politics. At New York University. My work is primarily on statistical methodologies to improve causal inference. I focus on the confluence of machine learning and experimental design. I work with Facebook’s Experiments and Causal Inference group in Core Data Science. JIT compilation in R. Introducing the `rdd' package (beta). Performance Tip in R. Package Development in R (on Windows).

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drewdimmery.com

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Performance Tip in R - Drew Dimmery

http://www.drewdimmery.com/performance-tip-in-r

Performance Tip in R. Lagit -function(x) { dyadid -x$dyadid[1] year -x$year var -ts(x$var, start=x$year[1]) Lag1var -lag(var,-1) Lag2var -lag(var,-2) Lag3var -lag(var,-3) Lead1var -lag(var,1) Lead2var -lag(var,2) out -data.frame(cbind(dyadid,year,var,Lag1var,Lag2var,Lag3var,Lead1var,Lead2var) return(out) } d -do.call("rbind",by(dat,dat$dyadid,lagit). Laquo; Package Development in R (on Windows). Introducing the `rdd' package (beta) ». Room 317, 19 West 4th St. New York, NY 10012. JIT compilation in R.

2

JIT compilation in R - Drew Dimmery

http://www.drewdimmery.com/jit-compilation-in-r

JIT Compilation in R. Here’s a quick post on how to enable JIT ( just-in-time ) compiling in R. It’s very simple, and detailed in much greater depth in this excellent post by Tal Galili. So first: why do we want to use a JIT compiler? Require(compiler) f - function() { . } cf - cmpfun(f) system.time(replicate(n,f() ) system.time(replicate(n,cf(). That is, I have some function that will be repeatedly executed. Times You’ll want to make. R COMPILE PKGS=TRUE R ENABLE JIT=3. Laquo; Updates to `rdd'. Package ...

3

Introducing the `rdd' package (beta) - Drew Dimmery

http://www.drewdimmery.com/introducing-the-rdd-package-beta

Introducing the `rdd' Package (Beta). I have recently completed a working beta of an R package for the regression discontinuity design with the help of Cyrus Samii. Moreover, it has been accepted to CRAN. Is a package for non-parametric estimation of sharp or fuzzy regression discontinuity designs. It works nearly identically to Austin Nichols’ `rd’ function. For Stata. There are a number of things which should be noted, however. Outcome Running variable Treatment variable Covariate 1 Covariate 2. There ...

4

Curriculum Vitae - Drew Dimmery

http://www.drewdimmery.com/cv

Room 317, 19 West 4th St. New York, NY 10012. JIT compilation in R. Introducing the `rdd' package (beta). Performance Tip in R. Package Development in R (on Windows).

5

Teaching - Drew Dimmery

http://www.drewdimmery.com/teaching

TAd for Cyrus Samii’s Quant II course on Causal inference. Spring 2014. Games, Strategy and Politics - TAd an undergraduate Game Theory course with Steven Brams. Talk on HPC in R, along with specifics for the use of NYU’s HPC resources. Introduction to the use of the R statistical programming language. Room 317, 19 West 4th St. New York, NY 10012. JIT compilation in R. Introducing the `rdd' package (beta). Performance Tip in R. Package Development in R (on Windows).

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ddimmery (Drew Dimmery) · GitHub

https://github.com/ddimmery

Feb 14, 2011. Materials for the Quant II recitations, Spring 2014. Quant II Recitation Website - Sprint 2015. The official Heroku buildpack for Python apps. 2 contributions in the last year. Summary of pull requests, issues opened, and commits. Learn how we count contributions. Ddimmery has no activity during this period. You can't perform that action at this time. You signed in with another tab or window. Reload. To refresh your session. You signed out in another tab or window. Reload.

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drewdimmery.com

Drew Dimmery - Drew Dimmery

I completed my PhD in the Wilf Family Department of Politics. At New York University. My work is primarily on statistical methodologies to improve causal inference. I focus on the confluence of machine learning and experimental design. I work with Facebook’s Experiments and Causal Inference group in Core Data Science. JIT compilation in R. Introducing the `rdd' package (beta). Performance Tip in R. Package Development in R (on Windows).

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Thursday, December 24, 2009. Hi, this is Andrew. I know i haven't blogged for a very long. Time, but i just got a brand new Nikon camera that takes very good pics so i will blog more often now! Well i am gonna start with where i am, i am in Williamsburg. For Christmas. We (my family and I) just came back from playing put put. Well i am about to show you a couple pictures that are us playing a few holes of put put. ENJOY. The picture under this text is my Mommy. Some more pictures us Fam. Hey I'm back - s...

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