Order intersections about complex-upset HOT 3 OPEN

Thanks for yoru reply.

I would imagine something like

df = data.frame(
  a=c(TRUE, FALSE, TRUE, TRUE),
  b=c(TRUE, TRUE, TRUE, TRUE),
  c=c(FALSE, TRUE, FALSE, FALSE),
  d=c(FALSE, FALSE, FALSE, TRUE)
)

df$order <- c(3,2,3,1)

upset(df, c('a', 'b', 'c', 'd'), ordering = 'order')

putting the intersection of size two last in the plot.

I suppose, one would have to check that the ordering factor is valid in the sense that it takes unique values witin each intersection, but that should not be too difficult.

from complex-upset.

Thank you for the feedback. I can imagine having an additional argument for that, but I am not sure how would that work with a factor from the data frame. Could you create a short example to demonstrate the desired behaviour, please?

Edit: You could base of this minimal test case:

df = data.frame(
    a=c(TRUE, FALSE, TRUE, TRUE),
    b=c(TRUE, TRUE, TRUE, TRUE),
    c=c(FALSE, TRUE, FALSE, FALSE),
    d=c(FALSE, FALSE, FALSE, TRUE)
)
upset(df, c('a', 'b', 'c', 'd'))

from complex-upset.

I've resolved the issue by simply replacing sorted_intersections with with_sizes %>% dplyr::select(order, intersection) %>% distinct() %>% arrange(order) %>% pull("intersection") at the end of upset_data(), and then calling upset with sort_intersections = 'ascending'.

from complex-upset.