I have a data set with a series of patient encounters where the patient went from a hospital into a nursing facility and the number of days they stayed in the nursing facility like this:
Patient
Hospital
Nursing Facility
Days
1
Hospital A
Facility 1
20
2
Hospital A
Facility 1
12
3
Hospital B
Facility 1
23
4
Hospital B
Facility 2
45
And it's rolled up like this:
Hospital
Nursing Facility
Average Length of Stay
Hospital A
Facility 1
35
Hospital A
Facility 2
32
Hospital B
Facility 2
22
Hospital C
Facility 3
25
Hospital C
Facility 1
45
And I've brought in some comparison data as well where both the Hospital and Nursing Facility are labelled 'Comparison':
Hospital
Nursing Facility
Average Length of Stay
Hospital A
Facility 1
35
Hospital A
Facility 2
32
Hospital B
Facility 2
22
Hospital C
Facility 3
25
Hospital C
Facility 1
45
Comparison
Comparison
24
What I want to do is add a column that gives me whether the current row is statistically significantly different than the comparison data with a t-test:
Hospital
Nursing Facility
Average Length of Stay
p value of difference from comparison
Hospital A
Facility 1
35
.002
Hospital A
Facility 2
32
.007
Hospital B
Facility 2
22
.2
Hospital C
Facility 3
25
.4
Hospital C
Facility 1
45
.000001
Comparison
Comparison
24
-
And I'm having trouble with the set analysis necessary to make this happen. TTest_sig requires a group field, and a value field. Those should be the NursingFacility and LegnthOfStay. It also requires that the group field have 2 and only 2 groups in it. What I want to do conceptually is something like this:
