Introduction In this blog post, I’ll use the data that I cleaned in a previous blog post, which you can download here. If you want to follow along, download the monthly data. In the previous blog post, I used the auto.arima() function to very quickly get a “good-enough” model to predict future monthly total passengers flying from LuxAirport. “Good-enough” models can be all you need in...
This note is just a quick follow-up to our last note on correcting the bias in estimated standard deviations for binomial experiments. For normal deviates there is, of course,...
Consider this my Good Deed for the Day!A re-tweet from a colleague whom I follow on Twitter brought an important paper to my attention. I thought I'd share it...
Despite their now inherent evil status, GitHub has some tools other repository aggregators do not. One such tool is the free vulnerability alert service which will scan repositories for...
A new minor clean-up release of the anytime package arrived on CRAN overnight. This is the fourteenth release, and follows the 0.3.2 release a good week ago. anytime is...
by Angelika Stefan & Felix Schönbrodt Almost all researchers have experienced the tingling feeling of suspense that arises right before they take a look at long-awaited data: Will they...
The windows clipboard is a quick way to get data in and out of R. How can we exploit this feature to accomplish our basic data exploration needs and...
A few years ago, when I first became aware of Topological Data Analysis (TDA), I was really excited by the possibility that the elegant theorems of Algebraic Topology could...
I recently picked up a copy of my favorite game Stardew Valley again. If you don’t know the game, I can highly recommend it! You inherit a pixel farm and you...
In this blog post, I will show you how you can quickly and easily forecast a univariate time series. I am going to use data from the EU Open Data...
In the first article of this series, I built an Alpine-based Docker image with R base packages from Alpine’s native repositories, as well as one image with R compiled...
Last week at the ODSC West conference, I was thrilled with the interest in my Using AI for Good workshop: it was wonderful to find a room full of...
So you know lapply, sapply, and apply…but…what about rapply, vapply, or eapply? These are generally a little less known as far as the apply family of functions in R...
The glmnet function (from the package of the same name) is probably the most used function for fitting the elastic net model in R. (It also fits the lasso...
I did a remote install of Ubuntu Server today. This was somewhat novel because it’s the first time that I have not had physical access to the machine I...
Dean Attali wrote this nice post a few years ago describing knitr’s spin function. This function allows a regular R file, with comments written with the roxygen2-style comment tag...
We’re pleased to announce the CRAN release of Shiny v1.2.0! This release features Plot Caching, an important new tool for improving performance and scalability in Shiny apps. If you’re not...
At the upcoming This week in machine learning and AI European online Meetup, I’ll be presenting and leading a discussion about the Anchors paper, the next generation of machine...
Antarctic/Southern Ocean science and rOpenSci Collaboration and reproducibility are fundamental to Antarctic and Southern Ocean science, and the value of data to Antarctic science has long been promoted. The...
Hugo Bowne-Anderson, the host of DataFramed, the DataCamp podcast, recently interviewed Angela Bassa, the Director of Data Science at iRobot. Here is the podcast link. Introducing Angela Bassa Hugo: ...
I’m pleased to share Part I of my new book “Introduction to Reproducible Science in R“. The purpose of this …Continue reading →
Introduction Over the past few weeks I’ve published articles about my new package, MCHT, starting with an introduction, a further technical discussion, demonstrating maximized Monte Carlo (MMC) hypothesis testing,...
This note is about attempting to remove the bias brought in by using sample standard deviation estimates to estimate an unknown true standard deviation of a population. We establish...
There are only two more weeks in the course! This week will extend what you learned from the Expected Value by performing an optimization and sensitivity analysis. The optimization and...
Recently I’ve been thinking on the subject of asking for help. In short, it’s hard to ask for help. It involves admitting to yourself that you can’t solve the...
I have been playing with package called imager, documentation on this package was extremely helpful! I have read through “getting started” as well as few other tutorial & examples. I...
This blog post introduces the RATest package we released a while back on CRAN with my colleague and good friend Mauricio Olivares-Gonzalez. The package contains a collection of randomization...
A new RcppArmadillo release, now at 0.9.200.4.0, based on the new Armadillo release 9.200.4 from earlier this week, is now on CRAN, and should get to Debian very...
Week 10 Gold Mining and Fantasy Football Projection Roundup now available. Go get that free agent gold! The post Gold-Mining Week 10 (2018) appeared first on Fantasy Football Analytics.
Contact us if you wish to help support R-bloggers, and place your banner here.
