Below you find a collection of news announcements about my research and
software. Most of the dates of the posts are the dates when they were
published. Some of the dates are ficticious however, in so far as they do not
indicate the date when I put them on my website but rather the date when the
relevant presentation was made or the paper was published.
The package ‘RKernel’ allows you to run R in Jupyter notebooks etc. I have
been working on the package on and off since summer 2021. I started because I
was dissatisfied with the default rich output that the already existing
IRkernel produces. Also, the help system seemed to be broken with version
<= 1.3 of ‘IRkernel’ when used with a more recent version of R (>=4.3?).1
I am currently working on a book chapter about “Sozialstruktur und Wahlverhalten
in Ost- und Westdeutschland – Konvergenz, Divergenz oder Persistenz?” (Social
Structure and Voting Behaviour in East and West Germany – Convergence,
Divergence, or Persistence?). In this context I found the remarkable result
shown in the following figure.
Release 0.99.20.1. has been published on CRAN. It improves the way the
package interoperates with RStudio and “tidyverse”. In particular:
A function view() provides a generic interface to the GUI function
View() in base R and RStudio. It makes it possible to extend it to
data objects of the classes “data.set”,
“descriptions”, and “importer”.
A method for “data.set” objects allows to transfer these
objects more easiliy into the “tidyverse”, i.e. facilitates the use of
functions from these package ecosystem on data sets imported or created with
memisc. An as_haven() function translates “data.set” objects into
“tibbles” with that extra information that the “haven” package adds to
“tibbles” imported with the help of that package. This should allow to view
and post-process data imported with memisc more or less the same way as if
the data were imported with “haven”.
A new release 0.99.17.1 of my package memisc has been published on CRAN.
The new release has the following improvements:
mtable() results now include a legend for significance symbols.
A codeplan() function creates a data frame that describes the
structure of an "importer" or "data.set" object. Such
“codeplans” can be used to copy the “item structure” or code plan from
one object to another.