I’ve written previously about Ordnance Survey’s Terrain 50 data and how you can merge it together. You can download the dataset from the OS’s opendata repo. I’d like to update that post with… Continue reading → [Read more...]

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The compositional data are proportionals of mutually exclusive groups that would be summed up to the unity. Statistical models for compositional data have been applicable in a number of areas, e.g. the product or channel mix in the marketing research and asset allocations of a investment portfolio. In the ... [Read more...]

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Step-by-step guide to generating, importing, and conducting online tests and quizzes generated by exams2blackboard() in R/exams. Online tests and quizzes conducted in learning management systems are a highly useful tool for students to practice course and materials and for teachers to monitor the progress students make while working ... [Read more...]

A recent analysis I worked on involved building a log regression and some ensemble methods using a data set with about 25 features, in addition to the target. It was an analysis of customer churn in the telecom industry. If you are interested, you can find the problem statement here, the ... [Read more...]

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Welcome to the eighteenth post in the rarely riveting R ramblings series of posts, or R4 for short. The Intel Math Kernel Library (MKL) is well-know high(er) performance math library tailored for Intel CPUs offering best-in-class numerical performance on a number of low-level operations (BLAS, LAPACK, ...). They are not ... [Read more...]

Fit Measures In my video on interpreting confirmatory factor analysis output, I promised a post on the various fit statistics. And here we are! As I said in the video, when you conduct structural equation modeling, the program is comparing the observed data - specifically the observed covariance matrix - ... [Read more...]

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I have a personal Google account, complete with gmail, gdrive and everything else. I first opened it up as a sort of spam email for all kinds of logins, but started to it use more and more due to its convenience. I was always slightly worried about the magnitude of ... [Read more...]

Yesterday I wrote this blog post which showed how one could use {furrr} and {mice} to impute missing data in parallel, thus speeding up the process tremendously. To make using this snippet of code easier, I quickly cobbled together an experimental package called {pmice} that you can install from Github: {{... [Read more...]

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Before to continue with the posts about how to do things with R, I have decided to describe how I lead the creation of an analytics team starting from zero.My only intention here is for this information to be useful for companies looking to create thei... [Read more...]

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Today I saw this tweet on my timeline: For those of us that just can't wait until RStudio officially supports parallel purrr in #rstats, boy have I got something for you. Introducing `furrr`, parallel purrr through the use of futures. Go ahead, break things, you know you want to:https://... [Read more...]

tl;dr: Point arrows at your line at defined datum points. Sometimes to really enhance your picture you need to point at some stuff. Here is a script which will plot vertical lines to show events in your datum plot. library(ggplot2) # This script will draw points to parts of (... [Read more...]

tl;dr: Point arrows at your line at defined datum points. Sometimes to really enhance your picture you need to point at some stuff. Here is a script which will plot vertical lines to show events in your datum plot. library(ggplot2) # This script will draw points to parts of (... [Read more...]