622 search results for "knitr"

Optimal Choice – Mathematical Advice for Real Life

June 11, 2016
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Optimal Choice – Mathematical Advice for Real Life

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. The markdown+Rknitr source code of this blog is available under a GNU General Public License (GPL v3) license from . Abstract We discuss how to choose the optimal candidate from a rankable sequence of candidates arriving...

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Hierarchical Risk Parity Implementation in Rcpp and OpenMP

May 26, 2016
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Hierarchical Risk Parity Implementation in Rcpp and OpenMP

Summary Recently, there has been a new research paper coming out with the goal of improving Markowitz’s Critical Line Algorithm (CLA) published by Marcos Lopez de Prado. The methodology is also currently patent pending and the paper can be downloaded here. The methodology suggested by the paper proposes the Hierarchical Risk Parity (HRP) approach. The HRP approach aims at...

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Harvesting more Canadian climate data

May 24, 2016
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Harvesting more Canadian climate data

A while back I wrote some code to download climate data from Government of Canada’s historical climate/weather data website for one of our students. In May this year (2016) the Government of Canada changed their website a little and the API code that responded to requests had changed URL and some of the GET parameters had also changed....

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Right or Wrong? – Validate Numbers Like a Boss

Right or Wrong? – Validate Numbers Like a Boss

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. The markdown+Rknitr source code of this blog is available under a GNU General Public License (GPL v3) license from . Abstract How does a statistician ensure that an analysis that comprises of outputting \(N\)...

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Installing WVPlots and “knitting R markdown”

May 20, 2016
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Installing WVPlots and “knitting R markdown”

Some readers have been having a bit of trouble using devtools to install WVPlots. I thought I would write a note with a few instructions to help. These are things you should not have to do often, and things those of us already running R have stumbled through and forgotten about. First you will need … Continue reading...

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When Should One Stop Testing Software?

When Should One Stop Testing Software?

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. The markdown+Rknitr source code of this blog is available under a GNU General Public License (GPL v3) license from . Abstract This is a small note rediscovering a gem published by S. R. Dalal and C....

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NIMBLE: A new way to do MCMC (and more) from BUGS code in R

April 8, 2016
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NIMBLE: A new way to do MCMC (and more) from BUGS code in R

Yesterday we released version 0.5 of NIMBLE on our web site, r-nimble.org. (We’ll get it onto CRAN soon, but it has some special needs to work out.) NIMBLE tries to fill a gap in what R programmers and analysts can do with general hierarchical models. Packages like WinBUGS, OpenBUGS, JAGS and Stan provide a language

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R Markdown & Bloggin’: Part 1 – Inserting Code

April 8, 2016
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R Markdown & Bloggin’: Part 1 – Inserting Code

Reino Bruner April 8, 2016 As a data scientist, I find the vast majority of the useful content I produce just gets stored into a rainy day folder until I have further need for it. I think it would be more beneficial if I brought some of the functions, processes, and knowledge I have developed Continue Reading.. The post...

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Geographic data to service the needs of a remote employee – part1

April 4, 2016
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Geographic data to service the needs of a remote employee – part1

By Ava Yang Background Ever since I started working remotely, some friends suggested “Why not work as usual as you travel across China, instead of staying in Shanghai?” Many cool people have practiced the lifestyle, but most of the time … Continue reading →

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Election analysis contest entry part 2 – building the nzelect R package

April 3, 2016
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Election analysis contest entry part 2 – building the nzelect R package

Motivation This post is the second in a series that make up my entry in Ari Lamstein’s R Election Analysis Contest, Yesterday I introduced the nzelect R package from a user perspective. Today I’m writing about how the build of that package works. This might be of interest to someone planning on doing something...

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