Comments (8)
- This issue is not reproducible without specifying what
M1_BinaryMatrix
is. - Please remove all unrelated code.
- Please clarify why a certain way of visualising data is correct and the other in is not.
from complex-upset.
The UpSet plot only considers the observations containing a "1", while a "0" is also an observation and should be part of the inclusive intersection (alias: intersect).
from complex-upset.
This does not answer my questions. I do not know what "1" is or "0". You need to provide a reproducible example.
from complex-upset.
How can I provide that matrix? It's almost 1 gb
from complex-upset.
You don't. Instead provide a minimal reproducible example.
from complex-upset.
structure(list(
KM-G4= c(0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L ),
KM-E4= c(0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L),
KM-G15= c(0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L),
KM-E15= c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L),
AC-G4= c(0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 1L),
AC-E4= c(0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L),
AC-G15= c(0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 1L),
AC-E15= c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L),
SC-G4= c(0L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 1L, 0L, 1L, 1L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 1L, 0L),
SC-E4= c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L),
SC-G9= c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L),
SC-E9 = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L)), row.names = c("0", "1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24"), class = "data.frame")
from complex-upset.
KM-G4 KM-E4 KM-G15 KM-E15 AC-G4 AC-E4 AC-G15 AC-E15 SC-G4 SC-E4 SC-G9 SC-E9 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 1 0 1 0 1 0 1 0 0 0 2 0 0 0 0 1 0 1 0 1 0 0 0 3 0 1 0 0 1 1 1 0 0 0 0 0 4 0 0 0 0 1 0 1 0 1 0 0 0 5 0 0 0 0 1 0 1 0 1 0 0 0 6 0 0 0 0 1 0 1 0 1 0 0 0 7 0 0 0 0 0 1 0 0 0 0 0 0 8 0 1 0 0 1 1 1 0 0 1 0 0 9 0 0 0 0 1 0 1 0 1 0 0 0
from complex-upset.
The provided data is insufficient I am unable to help here without a self contained example; it is not clear why
"0"s should also be part of the intersection
since zero by definition indicates that an observation is NOT in the intersection.
If anyone is struggling with obtaining desired result please open a new issue providing sufficient detail and description.
from complex-upset.
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from complex-upset.