it´s usual to make confusion tables or cross tables when we have vectors of same lenght to compute and cross classify them, but some other issues arise when we have several dimensions (more than two).
Since this is a common situation but it´s not so common to know the easy solution, so here comes ftable function from package stats.
Let´s use Titanic dataset for an example:
data(Titanic)
ftable(Titanic)
Survived No Yes
Class Sex Age
1st Male Child 0 5
Adult 118 57
Female Child 0 1
Adult 4 140
2nd Male Child 0 11
Adult 154 14
Female Child 0 13
Adult 13 80
3rd Male Child 35 13
Adult 387 75
Female Child 17 14
Adult 89 76
Crew Male Child 0 0
Adult 670 192
Female Child 0 0