Five levels of analytical automation
I have been thinking more about how programming that requires minimal human input is a virtue in computer science, and … Morecontinue reading.
I have been thinking more about how programming that requires minimal human input is a virtue in computer science, and … Morecontinue reading.
TL;DR Three methods for using javascript code in Shiny applications to build faster apps, avoid unnecessary re-rendering, and add components beyond Shiny’s limits. Part 2 of a five part series...continue reading.
Hi all, On top of recommending the excellent autobiography of Stanislaw Ulam, this post is about using the software Stan, but not directly to perform inference, instead to obtain R...continue reading.
When Marlion Pickett runs onto the M.C.G for Richmond in the AFL Grand Final this Saturday, he’ll be only the sixth player in 124 finals to debut on the big...continue reading.
We are using multiple imputation more frequently to “fill in” missing data in clinical datasets. Multiple datasets are created, models run, and results pooled so conclusions can be drawn. We’ve...continue reading.
Why are there zombie stats (they’re not true, and nobody really believes them anyway, yet they refuse to die)? I … Morecontinue reading.
I came over the weekend across this graph and the associated news that the county of Saint-Nazaire, on the southern border of Brittany, had a significantly higher rate of cancers...continue reading.
TL;DR Learn how to use the session argument as a global list for passing parameters between the modules in advanced Shiny apps to simplify the objects’ flow in code. Session...continue reading.
Another low-key arithmetic problem as Le Monde current mathematical puzzle: Notice that there are 10 numbers less than, and prime with 11, 100 less than and prime with 101, 1000...continue reading.
The modern business world is captivated by data science and analytics. It seems like in almost every enterprise there is talk of needing to bulk up the data science and...continue reading.
The modern business world is captivated by data science and analytics. It seems like in almost every enterprise there is […] The post Business AI for SMB’s: How To Compete...continue reading.
It has been mentioned in https://github.com/statcompute/GRnnet that GRNN is an ideal approach employed to develop performance benchmarks for a variety of risk models. People might wonder what the purpose of...continue reading.
TL; DR I used a Kaggle database to show you how to separate your customers into distinct groups based on their purchase behavior. With this method, store managers can customize...continue reading.
Background In healthcare, we deal with a lot of binary outcomes. Death yes/no, disease recurrence yes/no, for instance. These outcomes are often easily analysed using binary logistic regression via finalfit(). When...continue reading.
Can you guess the meaning of the following R code “?”=`u\164f8ToI\x6Et`;’!’=prod;!{ y<-xtabs(~?readLines())}%in%{ z<-y[1]}&z>T##&[]>~48bEfILpu If not (!), the explanation is provided in Robin’s answer to a codegolf …continue reading.
The @sydstats Twitter account uses this code base, and data from the Transport for NSW Open Data API to publish insights into delays on the Sydney Trains network. Each tweet...continue reading.
At Jumping Rivers we’re always to want to branch into the data science community, and so this year we’re going to quite a few conferences in the autumn. You can...continue reading.
tl; dr SASS is CSS for programmers. It gives you the building blocks that you’re used to, such as variables, conditions, and loops. And it helps you organize. The bigger...continue reading.
In the 1975 edition of “Applied multiple regression/correlation analysis for the behavioral sciences” by Jacob Cohen, an interesting approach of handling missing values in numeric variables was proposed with the...continue reading.
I hope you will give me 7 minutes to convince you why CSS is a good thing, and why you should be using it in your projects. In this post...continue reading.