The recently published version 0.99.31.6 of the memisc package also contains an
%$$% operator that simplifies routine data preparation steps that hitherto would
involve calls to the function within(). It is analogous to the operator %$%,
which is provided by the "magrittr" package, but is also defined by this
package.
These operators are illustrated by the following code examples.
Version 0.99.31.6 of package "memisc" was recently (3rd March 2023) published on
CRAN. One of the
new features of this version is the %if% operator which allows
to assign values to subsets of observations. To see how it
works, consider the following example:
I implemented this feature on suggestion from a colleague who
missed such a feature for data preparation.
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?).
My new book "Data Management in R: A Guide for Social Scientists" is
now in print and is announced by
SAGE
to appear on 26 December 2020, right on time for Boxing Day!
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.
Our paper on "Multilevel Analysis with Few Clusters: Improving
Likelihood-based Methods" is now published as an open access article by
the British Journal of Political Science(Elff et al. 2021), along
with a comment by Daniel Stegmueller
Stegmueller 2020 and a response by
us (Elff et al. 2021).
