- User Since
- Feb 1 2017, 10:55 AM (246 w, 3 d)
Sep 10 2021
Jul 27 2021
Nov 24 2020
Oct 26 2020
Oct 12 2020
I also agree!
People that are not from the statistics community might find them easier to read and interpret. I would be in favour of keeping them in the reports. We used the plots in one of our papers.
Oct 2 2020
Sep 21 2020
One strategy would be to add an optional argument in which the number of displayed teams can be specified. For challenges with 200 participants, even multiple columns might be confusing.
Aug 31 2020
@eisenman Yes, I have a dataset with ~200 Algorithms, will send it to you!
Aug 19 2020
May 27 2020
I would propose to go with largeBetter, as this is true for the most common metric values (e.g. DSC and Accuracy).
May 19 2020
Ah perfect :) I was looking into a decathlon report which was apparently created with the master branch.
May 14 2020
Yes, this results in Na, but they shouldn't be treated like before; you're right. @wiesenfa: What do you propose for the plots? Should we just remove the warnings?
This is due to the fact that missing values cannot be plotted:
May 11 2020
I think it is interesting to state the number of NAs in the report but this should be the actual number of NAs (not 0).
Apr 30 2020
Apr 20 2020
Seemed to work by restarting it a second time.
It occured with another data set. Will try to reproduce it after restarting RStudio.