October 2019

Understanding Blockchain Technology by building one in R

October 22, 2019 | 0 Comments

By now you will know that it is a good tradition of this blog to explain stuff by rebuilding toy examples of it in R (see e.g. Understanding the Maths of Computed Tomography (CT) scans, So, what is AI really? or Google’s Eigenvector… or how a Random Surfer ... [Read more...]

digest 0.6.22: More goodies!

October 21, 2019 | 0 Comments

A new version of digest arrived at CRAN earlier today, and I just sent an updated package to Debian too. digest creates hash digests of arbitrary R objects (using the md5, sha-1, sha-256, sha-512, crc32, xxhash32, xxhash64, murmur32, and spookyhash a... [Read more...]

Ordering Sentinel-2 products from Long Term Archive with sen2r

October 21, 2019 | 0 Comments

Until August 2019, all Sentinel-2 satellite data could be directly downloaded from the ESA Data Hub, both through the interactive Open Hub or using an API interface. Recently this policy was changed: typically, only the most recent products are available for direct download, while the oldest ones (level 2A archives older ...
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Access the free economic database DBnomics with R

October 21, 2019 | 0 Comments

DBnomics : the world’s economic database Explore all the economic data from different providers (national and international statistical institutes, central banks, etc.), for free, following the link db.nomics.world. You can also retrieve all the economic data through the rdbnomics package here. This blog post describes the different ways ...
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Access the free economic database DBnomics with R

October 21, 2019 | 0 Comments

DBnomics : the world’s economic database Explore all the economic data from different providers (national and international statistical institutes, central banks, etc.), for free, following the link db.nomics.world. You can also retrieve all the economic data through the rdbnomics package here. This blog post describes the different ways ...
[Read more...]

Trends in U.S. Border Crossing Entry since 1996

October 21, 2019 | 0 Comments

Introduction Since the 2016 election, inland U.S. Border security has been the huge topic. The construction for the new border wall has started and the tension between Mexico and U.S. has intensified along with it. Many people predicted not only the decrease in number of illegal border entry but ...
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Gold-Mining Week 7 (2019)

October 21, 2019 | 0 Comments

Week 7 Gold Mining and Fantasy Football Projection Roundup now available. The post Gold-Mining Week 7 (2019) appeared first on Fantasy Football Analytics. [Read more...]

Widening Multiple Columns Redux

October 21, 2019 | 0 Comments

Last year I wrote about the slightly tedious business of spreading (or widening) multiple value columns in Tidyverse-flavored R. Recent updates to the tidyr package, particularly the introduction of the pivot_wider() and pivot_longer() functions, have made this rather more straightforward to do than before. Here I recapitulate the ... [Read more...]

(Much) faster unnesting with data.table

October 20, 2019 | 0 Comments

Today I was struggling with a relatively simple operation: unnest() from the tidyr package. What it’s supposed to do is pretty simple. When you have a data.frame where one or multiple columns are lists, you can unlist these columns while duplicating the information in other columns if the ... [Read more...]

IPO Exploration

October 20, 2019 | 0 Comments

Inspired by recent headlines like “Fear Overtakes Greed in IPO Market after WeWork Debacle” and “This Year’s IPO Class is Least Profitable since the Tech Bubble”, today we’ll explore historical IPO data, and next time we’ll look at the the performance of IPO-driven portfolios constructed during the ...
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rmangal: making ecological networks easily accessible

October 20, 2019 | 0 Comments

In early September, the version 2.0.0 of rmangal was approved by rOpenSci, four weeks later it made it to CRAN. Following-up on our experience we detail below the reasons why we wrote rmangal, why we submitted our package to rOpenSci and how the peer review improved our package. Mangal, a database ...
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RcppGSL 0.3.7: Fixes and updates

October 20, 2019 | 0 Comments

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... [Read more...]

Permutation Feature Importance (PFI) of GRNN

October 19, 2019 | 0 Comments

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 ...
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Building a Corporate R Package for Pleasure and Profit

October 19, 2019 | 0 Comments

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, ...
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Partial Dependence Plot (PDP) of GRNN

October 19, 2019 | 0 Comments

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 ...
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SQL Server Schemas & R Tip

October 18, 2019 | 0 Comments

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 ...
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How confident are you? Assessing the uncertainty in forecasting

October 18, 2019 | 0 Comments

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_...
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