With the Triumph of Numbers, I read and wrote about the power of using numbers, and how the observation of empirical regularities led to the basic knowledge on how to use such numbers. Already in the triumph of numbers, it was indicated how valuable (numerical) data were regarded to be, for instance by the recollection [...]
Posts under ‘Science’
The Triumph of Numbers – Cohen (2005)
My new job involves working with numbers. A lot. So, I started reading about using numbers, and I very much enjoyed ‘The Triumph of Numbers’ by I.B. Cohen (2005). This book gives an historical account not only of how numbers were used in different times, but also of ‘how counting shaped modern life’.
The books [...]
What I Learned
Last Tuesday, I posted the preface of my Master’s Thesis on my blog. In an earlier draft, I wrote some thoughts about what I learned during my education in Sociology. In the end, I decided to delete that passage, but I saved it for publication on my blog.
So, below some thougths on what I learned [...]
Finished Thesis, New Job
Just very recently I finished writing my Master’s Thesis, it was graded last week, and today I’m starting my new job as a PhD Candidate. I will be working at the department of Social Risk and Safety Studies, at the University of Twente. I will be working on a project regarding cross-country differences in the [...]
Influence.ME: Simple Analysis
With the introduction of our new package for influential data influence.ME, I’m currently writing a manual for the package. This manual will address topics for both the experienced, and the inexperienced users.
I will also present much of the content of this manual on my blog. Of course, feel free to comment on it, and [...]
Presenting influence.ME at useR!
Today I presented influence.ME at the useR! conference in Rennes. Influence.ME is an R package for detecting influential data in mixed models. I developed this package together with Ben Pelzer and Manfred te Grotenhuis.
More information about influence.ME can be found on another section of my website.
Below, please find the slides of the presentation.
Presentation Influence.ME at [...]
Influence.ME: don’t specify the intercept
Just recently, I was contacted by a researcher who wanted to use influence.ME to obtain model estimates from which iteratively some data was deleted. In his case, observations were nested within an area, but there were very unequal numbers of observations in each area.
Unfortunately, he wasn’t able to use the influence.ME package on his models. [...]
Influence.ME: an R package providing tools for detecting influential data in mixed models.