Monthly Archives: October 2019

Help support GetDFPData

October 11, 2019
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The shiny version of GetDFPData is currently hosted in a private server at DigitalOcean. A problem with the basic (5 USD) server I was using is with the low amount of available memory (RAM and HD). With that, I had to limit all xlsx queries for the ...

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Explaining Predictions: Boosted Trees Post-hoc Analysis (Xgboost)

October 11, 2019
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Explaining Predictions: Boosted Trees Post-hoc Analysis (Xgboost)

Recap We’ve covered various approaches in explaining model predictions globally. Today we will learn about another model specific post hoc analysis. We will learn to understand the workings of gradient boosting predictions. Like past posts, the Clevaland heart dataset as well as tidymodels principle will be used. Refer to the first post of this series for more details. Gradient Boosting Besides random forest...

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if ifelse() had more if’s

October 11, 2019
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if ifelse() had more if’s

Problem The ifelse() function only allows for one “if” statement, two cases. You could add nested “if” statements, but that’s just a pain, especially if the 3+ conditions you want to use are all on the same level, conceptually. Is there a way to specify multiple conditions at the same time? Context I was recently … Continue reading "if...

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#FunDataFriday – gTrendsR

October 11, 2019
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#FunDataFriday – gTrendsR

The gtrendsR package is an R package that can be used to programmatically gather and display Google trend information.

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issuer: Local issue tracking, no net required

October 10, 2019
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The goal of issuer is to provide a simple issue tracker, hosted on your local file system, for those users who don’t want to or are disallowed from using cloud-based code repositories. Online code repositories often provide an issue tracker to allow developers, reviewers, and users to report bugs, submit feature requests, and so on. … Continue reading issuer:...

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Gosset part 2: small sample statistics

October 10, 2019
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Gosset part 2: small sample statistics

Simulation was the key to to achieve world beer dominance. ‘Scientific’ Brewing at scale in the early 1900s Beer bottles cheers This post is an explainer about the small sample experiments performed by William S. Gosset. This post contains some R code that simulates his simulations1 and the resulting determination of the ideal sample size for inference. If you brew your own beer, or if...

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Back in the GSSR

October 10, 2019
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The General Social Survey, or GSS, is one of the cornerstones of American social science and one of the most-analyzed datasets in Sociology. It is routinely used in research, in teaching, and as a reference point in discussions about changes in American society since the early 1970s. It is also a model of open, public data. The National Opinion...

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Gold-Mining Week 6 (2019)

October 10, 2019
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Week 6 Gold Mining and Fantasy Football Projection Roundup now available. The post Gold-Mining Week 6 (2019) appeared first on Fantasy Football Analytics.

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microbenchmark_1.4-7 on CRAN

October 10, 2019
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I pushed an updated microbenchmark to CRAN a couple weeks ago. There were two noteworthy changes, thanks to great contributions from @MichaelChirico and @harvey131.Michael fixed a bug in the check for whether the unit argument was a character string (#9, #10). The prior behavior was an uninformative error.Harvey added a feature to allow you to use a string for common checks:...

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Support Vector Machines with the mlr package

October 10, 2019
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Support Vector Machines with the mlr package

What is the support vector machine (SVM) algorithm? Imagine you would like to predict whether your boss will be in a good mood or not (a very important machine learning application). Over a couple of weeks, you record the number of hours you spend playing games at your desk and how much money you make

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