Monthly Archives: October 2019

RcppGSL 0.3.7: Fixes and updates

October 20, 2019
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A new release 0.3.7 of RcppGSL is now on CRAN. The RcppGSL package provides an interface from R to the GNU GSL using the Rcpp package. Stephen Wade noticed that we were not actually freeing memory from the GSL vectors and matrices as we set out to do...

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Permutation Feature Importance (PFI) of GRNN

October 19, 2019
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Permutation Feature Importance (PFI) of GRNN

In the post https://statcompute.wordpress.com/2019/10/13/assess-variable-importance-in-grnn, it was shown how to assess the variable importance of a GRNN by the decrease in GoF statistics, e.g. AUC, after averaging or dropping the variable of interest. The permutation feature importance evaluates the variable importance in a similar manner by permuting values of the variable, which attempts to break the

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Building a Corporate R Package for Pleasure and Profit

October 19, 2019
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Building a Corporate R Package for Pleasure and Profit

The “Great Restructuring” of our economy is underway. That’s the official name for what we know is happening: the best are rising to the top, and the mediocre are sinking to the bottom. It’s the Matthew Principle in-motion. In Brynjolfsson and McAfee’s 2011 book Race Against the Machine, they detail how this New Economy will favor those that have the...

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Partial Dependence Plot (PDP) of GRNN

October 19, 2019
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Partial Dependence Plot (PDP) of GRNN

The function grnn.margin() (https://github.com/statcompute/yager/blob/master/code/grnn.margin.R) was my first attempt to explore the relationship between each predictor and the response in a General Regression Neural Network, which usually is considered the Black-Box model. The idea is described below: First trained a GRNN with the original training dataset Created an artificial dataset from the training data by keeping

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SQL Server Schemas & R Tip

October 18, 2019
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SQL Server Schemas & R Tip

I ran into an issue the other day where I was tring to write a new table to a SQL Server Database with a non-default schema. I did end up spending a bit of time debugging and researching so I wanted to share for anyone else that runs into the issue. Using the DBI::Id function, allows you to specify the schema...

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How confident are you? Assessing the uncertainty in forecasting

October 18, 2019
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How confident are you? Assessing the uncertainty in forecasting

Introduction Some people think that the main idea of forecasting is in predicting the future as accurately as possible. I have bad news for them. The main idea of forecasting is in decreasing the uncertainty. Think about it: any event that we want to predict has some systematic components \(\mu_t\), which could potentially be captured

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Vignette: Google Trends with the gtrendsR package

October 17, 2019
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Vignette: Google Trends with the gtrendsR package

Background Google Trends is a well-known, free tool provided by Google that allows you to analyse the popularity of top search queries on its Google search engine. In market exploration work, we often use Google Trends to get a very quick view of what behaviours, language, and general things are trending in a market. And of course, if you...

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three birthdays and a numeral

October 17, 2019
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three birthdays and a numeral

The riddle of the week on The Riddler was to find the size n of an audience for at least a 50% chance of observing at least one triplet of people sharing a birthday, as is the case in the present U.S. Senate. The question is much harder to solve than for a pair of

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Practical Data Science with R 2nd Edition update

October 17, 2019
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We are in the last stages of proofing the galleys/typesetting of Zumel, Mount, Practical Data Science with R, 2nd Edition, Manning 2019. So this edition will definitely be out soon! If you ever wanted to see what Nina Zumel and John Mount are like when we have the help of editors, this book is your … Continue reading Practical...

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Job: Junior Systems Administrator (with a focus on R/Python)

October 17, 2019
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Jumping Rivers is a data science consultancy company focused on R and Python. We work across industries and throughout the world. We offer a mixture of training, modelling, and infrastructure support. Jumping Rivers is an RStudio Full Service Certified Partner. This role is suitable for anyone interested in deploying (Linux-based) data science services and contains The post Job: Junior Systems...

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