example from #T27252 (besides the problem to be solved there)
data=rbind(
data.frame(alg_name="A1", value=0.8, case="C1"),
data.frame(alg_name="A1", value=0.8, case="C1"),
data.frame(alg_name="A2", value=0.6, case="C2"),
data.frame(alg_name="A2", value=0.6, case="C2")
)
as.challenge(data, algorithm="alg_name", case="case", value="value", smallBetter=FALSE)gives as output
Performance of not all algorithms is observed for all cases in task 'dummyTask'. Inserted as missings in following cases: alg_name case 1 A1 C2 2 A2 C1 $dummyTask alg_name case task value 1 A1 C1 dummyTask 0.8 2 A1 C1 dummyTask 0.8 3 A1 C2 <NA> NA 4 A2 C1 <NA> NA 5 A2 C2 dummyTask 0.6 6 A2 C2 dummyTask 0.6
but the task "dummyTask" is artificial. this might be confusing. also in rows 3 and 4 task is empty.
@eisenman you are more into the change of artificial tasks, can you solve this?