Assess Variable Importance In GRNN

October 13, 2019
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Assess Variable Importance In GRNN

Technically speaking, there is no need to evaluate the variable importance and to perform the variable selection in the training of a GRNN. It’s also been a consensus that the neural network is a black-box model and it is not an easy task to assess the variable importance in a neural network. However, from the

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Making a background color gradient in ggplot2

Making a background color gradient in ggplot2

I was recently making some arrangements for the 2020 eclipse in South America, which of course got me thinking of the day we were lucky enough to have a...

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Did Russia Use Manafort’s Polling Data in 2016 Election?

October 13, 2019
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Did Russia Use Manafort’s Polling Data in 2016 Election?

Introduction:On August 2, 2016 then Trump campaign manager, Paul Manafort, gave polling data to Konstantin Kalimnik a Russian widely assumed to be a spy. Before then Manafort ordered his...

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Using R: Animal model with simulated data

October 13, 2019
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Using R: Animal model with simulated data

Last week’s post just happened to use MCMCglmm as an example of an R package that can get confused by tibble-style data frames. To make that example, I simulated...

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Rename Columns | R

October 13, 2019
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Rename Columns  | R

Often data you’re working with has abstract column names, such as (x1, x2, x3…). Typically, the first step I take when renaming columns with r is...

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easyMTS: My First R Package (Story, and Results)

October 12, 2019
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This weekend I decided to create my first R package… it’s here! https://github.com/NicoleRadziwill/easyMTS Although I’ve been using R for 15 years, developing a package has been the one thing...

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easyMTS R Package: Quick Solver for Mahalanobis-Taguchi System (MTS)

October 12, 2019
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A new R package in development. Please cite if you use it. The post easyMTS R Package: Quick Solver for Mahalanobis-Taguchi System (MTS) appeared first on Quality and Innovation.

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My First R Package (Part 3)

October 12, 2019
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My First R Package (Part 3)

After refactoring my programming so that it was only about 10 lines of code, using 12 functions I wrote an loaded in via the source command, I went through...

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Hyper-Parameter Optimization of General Regression Neural Networks

October 12, 2019
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Hyper-Parameter Optimization of General Regression Neural Networks

A major advantage of General Regression Neural Networks (GRNN) over other types of neural networks is that there is only a single hyper-parameter, namely the sigma. In the previous...

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My First R Package (Part 2)

October 12, 2019
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My First R Package (Part 2)

In Part 1, I set up RStudio with usethis, and created my first Minimum Viable R Package (MVRP?) which was then pushed to Github to create a new repository....

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My First R Package (Part 1)

October 12, 2019
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My First R Package (Part 1)

(What does this new package do? Find out here.) I have had package-o-phobia for years, and have skillfully resisted learning how to build a new R package. However, I...

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Autumn Barnsley Fern

October 12, 2019
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Autumn Barnsley Fern

Intro I was playing around generating fractals in R when I realized the monochromatic green Barnsely Fern I had on my screen didn’t quite look like the leaves I could...

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Discover Offensive Programming

October 12, 2019
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Discover Offensive Programming

Package wyz.code.offensiveProgramming version 1.1.12 is available on CRAN. If you are interested in reducing time and efforts to implement and debug R code, to generate R documentation, to generate test...

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A Shiny Intro Survey to an Open Science Course

A Shiny Intro Survey to an Open Science Course

Last week, we started a new course titled “Statistical Programming and Open Science Methods”. It is being offered under the research program of TRR 266 “Accounting for Transparency” and enables students to...

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Cluster multiple time series using K-means

Cluster multiple time series using K-means

I have been recently confronted to the issue of finding similarities among time-series and though about using k-means to cluster them. To illustrate the method, I’ll be using data from...

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GitHub Streak: Round Six

October 12, 2019
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GitHub Streak: Round Six

Five ago I referenced the Seinfeld Streak used in an earlier post of regular updates to to the Rcpp Gallery: This is sometimes called Jerry Seinfeld’s secret to productivity:...

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Using Spark from R for performance with arbitrary code – Part 3 – Using R to construct SQL queries and let Spark execute them

October 12, 2019
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Using Spark from R for performance with arbitrary code – Part 3 – Using R to construct SQL queries and let Spark execute them

Introduction In the previous part of this series, we looked at writing R functions that can be executed directly by Spark without serialization overhead with a focus on writing functions...

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Loading packages efficiently

October 11, 2019
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Loading packages efficiently

Problem Especially in a project with many different scripts, it can be challenging to keep track of all the packages you need to load. It’s also easy to lose...

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Opioid prescribing habits in Texas

October 11, 2019
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Opioid prescribing habits in Texas

A paper I worked on was just published in a medical journal. This is quite an odd thing for me to be able to say, given my academic background...

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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...

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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...

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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...

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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...

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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...

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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,...

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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...

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RcppArmadillo 0.9.800.1.0

October 9, 2019
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RcppArmadillo 0.9.800.1.0

Another month, another Armadillo upstream release! Hence a new RcppArmadillo release arrived on CRAN earlier today, and was just shipped to Debian as well. It brings a faster...

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