(skip to the shiny app) Model building is very often an iterative process that involves multiple steps of choosing an algorithm and hyperparameters, evaluating that model / cross validation, and optimizing the hyperparameters. I find a great aid in this process, for classification tasks, is not only to keep track of the accuracy across models, »more
IST/5, the British Standards’ committee responsible for programming languages in the UK, has a new(ish) committee secretary and like all people in a new role wants to see a...
by Joseph Rickert If I had to pick just one application to be the “killer app” for the digital computer I would probably choose Agent Based Modeling (ABM). Imagine...
This is a guest post by Randy Zwitch (@randyzwitch), a digital analytics and predictive modeling consultant in the Greater Philadelphia area. Randy blogs regularly about Data Science and related technologies...
ESA is just around the corner, and many of us are gearing up and trying to figure out a schedule to cover all the talks...
Benny Distefano – 1985 Donruss #166 (source: baseball-almanac.com) We are approaching the twenty-fifth anniversary of the last time a left-handed throwing catcher appeared behind the...
This is an example of how to use the demography package in R for stochastic population forecasting with coherent components. It is based on the papers by Hyndman and...
R is a functional language, which means that your code often contains a lot of ( parentheses ). And complex code often means nesting those parentheses together, which make...
Slate recently published a great info-graphic about Middle-East Relationships. It shows the relationships (Friend, Enemy, or Complicated) of 13 countries / organizations and the relationships between each pair. One...
I recently found myself in need of a function to sample randomly from an arbitrarily defined probability density function. An excellent post by Quantitations shows how to accomplish this...
The following is a function to "flood fill" a region on the active plotting device. Once called, the user will be asked to click on the desired target region....
How do you limit your search when looking for a hotel? Those trying to save money begin with price. Members of hotel reward programs focus on their brand. At other...
I’ve released four new data packages to CRAN: babynames, fueleconomy, nasaweather and nycflights13. The goal of these packages is to provide some interesting, and relatively large, datasets to demonstrate...
When modelling data with ARIMA models, it is sometimes useful to plot the inverse characteristic roots. The following functions will compute and plot the inverse roots for any fitted...
R has some extremely useful utilities for profiling, such as system.time(), Rprof(), the often overlooked tracemem(), and the rbenchmark package. But if you want more than just simple timings...
Another color experiment combining resources from R and Javascript. I just wish I could do Mean Phylogenetic Distance in Javascript like rPlotter. I enjoyed using d3.js zoom behavior to...
R 3.1.1 was released a few days ago, and as part of the policy we are trying to follow for Rcpp11 releases, here is Rcpp11 3.1.1. Sorry for the...
We’re excited to announce a new release of Packrat, a tool for making R projects more isolated and reproducible by managing their package dependencies. This release brings a number...
So between variations of different strategies, for those who have yet to come across it, my IKTrading package has a … Continue reading →
It has been suggested that the average Comrades Marathon runner is gradually getting older. As an “average runner” myself, I will not deny that I am personally getting older....
by James Peruvankal There are plenty of options if you want to learn R and are looking for training: your college’s statistics department, massive open online courses like Coursera,...
While we wait for CRAN to process the release of Rcpp11 3.1.1, here are some news about the Rcpp11 t-shirt. With more than 40 attendees, the Rcpp11 tutorial was...
So, on more than one occasion I have set up a repository locally, then on GitHub and pushed to that repo from the shell. This works great, but this...
tidyr is new package that makes it easy to “tidy” your data. Tidy data is data that’s easy to work with: it’s easy to munge (with dplyr), visualise (with...
Note to self: after updating R with Homebrew remember to cleanup old versions: brew cleanup r Otherwise I'm liable to get a segfault. (see also)
EARL (Effective Applications of the R Language) is a unique conference dedicated to the growing commercial usage and business applications of R. We currently have less than 100 delegate places...
I often create plots that require quite a bit of computation. Ideally I would run this on what I’ll call Machine A, which is a very fast machine, but...
The 2nd R in Insurance conference took place last Monday, 14 July, at Cass Business School London. This one-day conference focused once more on applications in insurance and actuarial...
Statistics has many canonical data sets. For classification statistics, we have the Fisher's iris data. For Big Data statistics, the canonical data set used in many examples is the...
Plotly: collaborative, publication-quality graphing.
