Firstly, I know nothing about election fraud – this isn’t a serious post. But, I do like to do some simple coding. Ben Goldacre posted on using Benford’s Law to look for evidence of Russian election fraud. Then Richie Cotton did the same, but using R. Commenters on both sites suggested that as the data 
Please note - I’ve spotted a problem with the approach taken in this post – it seems to underestimate power in certain circumstances. I’ll post again with a correction or a more full explanation when I’ve sorted it. So, I posted an answer on cross validation regarding logistic regression. I thought I’d post it 
This post is not about R (for a change). For working UK scientists, science is vital – sign the on-line petition to preserve science funding. For my contribution of what we don’t know yet - We don’t know whether we can use biomarkers of kidney injury to personalise the doses of medications to maximise the 
So, there’s probably an easier way to do this (please let me know if you know it)… Suppose you’re working with a system which creates (binary) files and posts them for download on a website. You know the names of the files that will be created. However, they may not have been made yet (they’re 
If you’ve read any of my previous posts, you’ll notice that they’re rather scanty on colour. There’s a reason for this. Mainly, that to get a good colour output takes some time. I recently read a commentary in Nature methods (sorry if you don’t have access to it, but this looks like it may be 
So, when you first look at some data, it’s helpful to get a feel of it. One way to do this is to do a plot or two. I’ve found myself continuously doing the same series of plots for different datasets, so in the end I wrote this short code to put all the plots 
In this previous post, we’ve looked at displaying three dimensional data. One major problem is when there is a high density of data, it can be difficult to see what’s going on in a 3 dimensional plot. One way of looking at the data in more detail is to break it up. Take a look 
Some charts are to help you analyse data. Some charts are to wow people. 3d charts are often the latter, but occasionally the former. In this post, we’ll look at how to turn your data into a 3d chart. Let’s use the data from this previous post. Use the code which turns the .csv spreadsheet 
R can produce some beautiful graphics, and there are some excellent packages, such as lattice and ggplot2 to represent data in original ways. But sometimes, all you want to do is explore the realtionship between pairs of variables with the minimum of fuss. In this post we’ll use the data which we imported in the 
In this post we will build on the last one, and create a matrix scatterplot. The package lattice allows for some really excellent graphics. In case you haven’t already seen it I recommend the R Graph Gallery for some examples of what it can do – browse the graphics by package used to create them. 
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
