This blogpost is mainly a reminder for myself where I can delete this information.

But what’s all about?

Recently I installed bigrquery and ran queries against Google’s BigQuery cloud-database before I had installed gcloud (and did the authorization as described at https://docs.getdbt.com/reference/warehouse-setups/bigquery-setup#local-oauth-gcloud-setup).

So R asked me to authorize the session in a browser. So far so good.

But every time I started a new R session I was asked if I want to use the well known account or another one.

So I was wondering where this account information was stored and how I could delete this information.

After upgrading my local R version to version 4.2.1 I always got an annoying warning after loading my own package. This only occurred using RStudio.

pkgdown is a great tool for generating a website with documentation for an R package.

Unfortunately, pkgdown uses CDNs (content delivery networks) like Cloudflare to embed often used JavaScript libraries into the generated website. Also, fonts are included in such a way. That’s a good idea when these files are cached over websites away.

But in Germany due to GDPR, it’s only allowed to do so after the user has given his consent.

A year ago I already wrote an article how to iterate over the rows of a data.frame. Now I’ve run into another special case. Last year we used pmap_dfr() to pass each element of a row as single parameter to our custom function.

But what should you do if your function accepts a data.frame (or list) as one single parameter?

When working with data which is a result of json-data converted to a list of lists of lists of lists … (you know what mean ;-)) I often want to convert it a data.frame.

Unfortunately there’s often a list in the source data which is unnamed. Or the list in one row is longer than the one in another row. So converting it straight forward into a data.frame or tibble fails with the error message Tibble columns must have compatible sizes.

So what to do? Just leave lists as values in the cells of the data.frame.