How much of the paper did you manage to reproduce?
8 / 10
Briefly describe the procedure followed/tools used to reproduce it
cloning GitHub repro
aim to reproduce analysis in Python (original: R)
as images were missing, analysis.qmd in R was succesfully rendered (but on different computer/system) -> R packages were installed
solution: in YAML header write self-contained = TRUE
lines 60:63: it is not clear why software type "book" is changed to "software_article"
lines 98-100: df_tmp yields different counts
line 101: no python function that yield multinomial estimates could be found, only confidence intervals available
Function in R: MultinomCI(), default method is "sisonglaz" --> Function + method used in Python: statsmodels.stats.proportion.multinomial_proportions_confint(method='sison-glaz') --> but confidence intervals are much larger in R --> maybe different method? maybe method='goodman'?
lines 112:134: code gives slightly different plot (different axis labels, order of software-citation-types, and respective counts)
Briefly describe your familiarity with the procedure/tools used by the paper.
We are 5 people with different background in programming, mostly in Python and also in R.
Which type of operating system were you working in?
Linux/FreeBSD or other Open Source Operating system