Here, I demonstrate how to find the point where two histograms overlap. While this is an approximation, it seems to have a very high level of precision. Prepare simulated data I created two data sets, gamma_dist and norm_dist, which are made up of a different number of values ...

Here, I demonstrate how to find the point where two histograms overlap. While this is an approximation, it seems to have a very high level of precision. Prepare simulated data I created two data sets, gamma_dist and norm_dist, which are made up of a different number of values ...

Many if not most data clean up, tidying, wrangling, and joining can be done directly in R. There are many advantages to this approach – i.e. read in data in whatever format (from excel to json to zip) and then do your tidying – including transparency, a record of what you ...

Reducing carbon emissions is maybe the world's most pressing challenge at the moment. One obvious avenue for action is the reduction of carbon emissions from electricity generation, which are a significant contributor to global carbon emissions overall. This is particularly true if trends now in place continue undisturbed, with the ...

vtreat is a DataFrame processor/conditioner that prepares real-world data for supervised machine learning or predictive modeling in a statistically sound manner. vtreat takes an input DataFrame that has a specified column called “the outcome variable” (or “y”) that is the quantity to be predicted (and must not have missing ...

Due to the drastic differences between the natural environment of lithops and Boston, I have to grow the plants indoors and under artificial light. Below is to documentation of how I built my set up. The lights are setup and running, though I am still in the process of assembling ...

Due to the drastic differences between the natural environment of lithops and Boston, I have to grow the plants indoors and under artificial light. Below is to documentation of how I built my set up. The lights are setup and running, though I am s...

Planning for a trip to Cornwall, I was churning through some mysteries there, largely picking them at random from the map. I worked my way through this one by hand, copying the puzzle into a text editor and separating the pairs manually before finally transferring it into RStudio and plotting ...

1. Fit your repeated-measures model with lmer 2. Define the contrast(s) of interest 3. Run the bootstrap Summary A while back I wrote a post demonstrating how to bootstrap follow-up contrasts for repeated-measure ANOVAs for cases where you data ...

This blog post is an excerpt of my ebook Modern R with the tidyverse that you can read for free here. This is taken from Chapter 8, in which I discuss advanced functional programming methods for modeling. As written just above (note: as written above in the book), map() simply applies ...

1. Fit your repeated-measures model with lmer 2. Define the contrast(s) of interest 3. Run the bootstrap Summary A while back I wrote a post demonstrating how to bootstrap follow-up contrasts for repeated-measure ANOVAs for cases where you data violates some / any assumptions. Here is a demo of how to conduct the ...

1. Fit your repeated-measures model with lmer 2. Define the contrast(s) of interest 3. Run the bootstrap Summary A while back I wrote a post demonstrating how to bootstrap follow-up contrasts for repeated-measure ANOVAs for cases where you data violates some / any assumptions. Here is a demo of how to conduct the ...

1. Fit your repeated-measures model with lmer 2. Define the contrast(s) of interest 3. Run the bootstrap Summary A while back I wrote a post demonstrating how to bootstrap follow-up contrasts for repeated-measure ANOVAs for cases where you data violates some / any assumptions. Here is a demo of how to conduct the ...

At the Summer School of the Swiss Association of Actuaries, in Lausanne, following the part of Jean-Philippe Boucher (UQAM) on telematic data, I will start talking about pictures this Wednesday. Slides are available online Ewen Gallic (AMSE) will present a tutorial on satellite pictures, and a simple classification problem, related ...