Construct a precedence matrix, showing how activities are followed by each other.
This is a performance improved variant of precedence_matrix
in the processmapR package.
precedence_matrix(
eventlog,
type = c("absolute", "relative", "relative-antecedent", "relative-consequent",
"relative-case")
)The event log object to be used
The type of precedence matrix, which can be absolulte, relative, relative-antecedent or relative-consequent. Absolute will return a matrix with absolute frequencies, relative will return global relative frequencies for all antecedent-consequent pairs. Relative-antecedent will return relative frequencies within each antecendent, i.e. showing the relative proportion of consequents within each antecedent. Relative-consequent will do the reverse.
m <- precedence_matrix(hospital_multi_perspective, type = "absolute")
print(m)
#> # A tibble: 29 × 3
#> antecedent consequent n
#> <fct> <fct> <int>
#> 1 Triage Check 1
#> 2 Final Visit Triage 1
#> 3 Check Organize Ambulance 81
#> 4 Prepare Organize Ambulance 338
#> 5 Visit X-Ray 452
#> 6 Organize Ambulance Check 38
#> 7 X-Ray Final Visit 810
#> 8 X-Ray Visit 2079
#> 9 Register Check 4898
#> 10 Final Visit Check 3638
#> # … with 19 more rows
#> # ℹ Use `print(n = ...)` to see more rows
as.matrix(m)
#> consequent
#> antecedent Check End Final Visit Organize Ambulance Prepare Register
#> Check 5783 2284 5654 81 3639 0
#> End 0 0 0 0 0 0
#> Final Visit 3638 0 0 0 6209 0
#> Organize Ambulance 38 381 0 0 0 0
#> Prepare 2327 7183 0 338 0 0
#> Register 4898 152 0 0 0 0
#> Start 0 0 0 0 0 1
#> Triage 1 0 0 0 0 9999
#> Visit 6012 0 3384 0 0 0
#> X-Ray 6959 0 810 0 0 0
#> consequent
#> antecedent Start Triage Visit X-Ray
#> Check 0 0 6827 5388
#> End 0 0 0 0
#> Final Visit 0 1 0 0
#> Organize Ambulance 0 0 0 0
#> Prepare 0 0 0 0
#> Register 0 0 942 4008
#> Start 0 9999 0 0
#> Triage 0 0 0 0
#> Visit 0 0 0 452
#> X-Ray 0 0 2079 0