Data pseudonymization in R
With the recent adoption of GDPR, pseudonymization is now a relevant method of protecting personal data. An example of how to pseudonymize data in R is given.
Are nonsensical models useful?
Despite that regression models sometimes include parameters that are theoretically invalid, they are still used to explain phenomena. Why? This will be explained by fitting different models on data with theoretical limitations.
Plotting the fit of regression models in R
Visualizing model fit helps better understand how well model fits data but also illustrates the relationship between variables. An example is given on how to do this in R.
Propensity score matching with R
A walkthrough on how to carry out PSM analysis in R using base R functions.
On the milk price in EU
Milk prices in EU plunged after expiration of milk quotas in 2015. Some trends of milk prices are explored and the effects of the end of quotas are presented.
Match as an alternative to merge in R
While 'merge' function is the most straightforward solution to joining datasets by a common variable in R, sometimes 'match' is more intuitive.