I would like to perform a stratified fisher test.
I've tried with tabulate
without success.
These are my data:
> db$site
[1] 2 2 2 3 1 1 1 1 1 1 1 1 1 1 2 3 1 1 1 1 1 1 1 1 2 2 3 3 1 1 3 1 2 1 1 2 1 1 1 1 1 3 1 1 1 1 1 3 1
[50] 2 1 1 3 3 3 1 1 1 1 1 1 1 1 1 1 1 1 1 3 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 3 3 3 3 3 1 3 3 1
[99] 3 1 1 1 1 1 1 1 3 3 1 1 1 1 1 3 2 1 1 1 1 1 3 3 1 3 3 3 3 1 3 1 3 3 1 3 1 1 3 3 3 2 3 3 3 3 1 3 3
[148] 3 2 3 3 1 3 1 3 3 3 3 3 3 1 3 3 3 1 3 3 1 3 1 1 1 1 1 1 1 3 2 1 3 2 2 2 3 2 3 2 2 2 2 2 2 2 2 3 2
[197] 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 1 3 1 3 2 1 2 3 1 3 3 1 1 1 1 3 3 3 1 3 2 2 1 3 1 2 3 1
[246] 1 1 1 1 1 2 3 2 1 2 3 3 3 1 1 2 3 2 3 3 3 2 2 1 3 2 3 1 1 3 3 2 1 1 1 1 1 2 1 1 2 2 1 2 3 3 1 1 1
[295] 3 2 2 3 1 1 2 2 2 3 3 2 1 3 1 2 1 3 1 1 3 1 1 3 2 2 2 2 2 1 3 1 1 2 3 3 3 1 3 1 3 2 3 1 1 1 3 3 3
[344] 3 1 2 2 2 3 1 3 1 1 3 1 3 2 1 3 2 2 2 2 2 2 2
Levels: 1 2 3
> db$phq_cat
[1] 1 2 2 3 1 2 2 2 1 1 1 2 1 1 1 2 2 1 2 1 3 2 1 1 1 5 1 2 3 2 3 1 2 4 2 1 1 2 2 1 1 1 1 2 1 2 2 2 2
[50] 2 1 3 1 2 3 2 2 2 3 2 1 1 3 2 2 2 2 2 3 1 1 2 3 2 2 5 3 1 3 1 2 3 2 2 3 3 1 3 1 1 2 2 1 2 2 1 2 4
[99] 1 1 2 2 2 2 2 1 3 2 2 1 1 3 2 1 2 2 2 1 3 2 2 3 2 1 1 1 2 2 2 2 1 3 1 3 2 2 1 2 2 2 2 1 1 3 2 2 1
[148] 3 2 4 1 2 1 2 3 1 3 2 2 2 2 2 2 1 2 2 2 2 2 2 1 1 1 1 1 3 3 2 1 1 3 2 2 3 3 2 4 2 2 2 3 2 1 4 1 2
[197] 3 1 2 2 2 2 3 2 3 3 3 3 5 1 3 2 3 1 3 3 3 2 2 1 2 2 1 3 4 4 2 1 2 2 3 4 3 3 2 1 2 4 1 1 2 1 3 2 3
[246] 3 1 1 2 2 3 3 1 1 4 3 2 1 1 2 2 2 2 1 2 2 2 3 1 1 2 4 1 1 2 3 3 2 1 1 1 2 5 1 2 3 2 2 3 1 1 3 3 1
[295] 3 5 2 1 1 1 2 2 1 1 1 4 4 2 1 1 2 1 2 3 1 2 1 2 4 1 1 1 3 1 4 1 1 1 1 4 3 1 2 1 3 3 3 1 2 1 3 1 1
[344] 2 1 1 2 2 2 1 4 2 2 1 4 1 1 4 2 1 4 2 3 2 1 1
Levels: 1 2 3 4 5
> db$area
[1] 3 1 1 0 3 2 5 3 1 3 3 3 1 5 4 0 3 5 5
[20] 1 3 2 3 1 3 3 0 0 3 3 0 1 3 1 3 3 3 3
[39] 3 3 3 0 1 2 2 2 2 0 2 1 1 1 0 0 0 3 3
[58] 3 3 4 3 3 3 3 3 1 3 3 0 3 3 5 3 2 3 5
[77] 5 3 3 3 3 5 3 2 5 3 3 3 2 0 0 0 0 0 5
[96] 0 0 3 0 3 5 3 3 3 1 3 0 0 3 3 2 1 3 0
[115] 3 2 5 2 5 1 0 0 5 0 0 0 0 1 0 1 0 0 3
[134] 0 3 3 0 0 0 3 0 0 0 0 3 0 0 0 3 0 0 2
[153] 0 3 0 0 0 0 0 0 3 0 0 0 3 0 0 3 0 5 3
[172] 5 3 3 3 3 0 2 3 0 3 2 3 0 3 0 3 2 5 3
[191] 2 3 5 5 0 3 5 3 2 3 3 3 3 2 2 3 1 3 3
[210] 3 3 3 5 3 3 3 3 3 0 3 0 3 2 1 0 3 0 0
[229] 5 3 3 1 0 0 0 3 0 5 1 3 0 3 3 0 1 5 5
[248] 3 1 3 5 0 2 3 2 0 0 0 3 3 5 0 3 0 0 0
[267] 3 3 3 0 3 0 3 4 0 0 3 3 3 3 5 5 3 3 1
[286] 3 1 2 3 0 0 5 3 1 0 5 3 0 3 3 3 2 3 0
[305] 0 <NA> 3 0 3 5 5 0 5 3 0 3 1 0 5 3 3 3 2
[324] <NA> 0 3 5 1 0 0 0 5 0 5 0 5 0 3 3 3 0 0
[343] 0 0 2 3 3 3 0 5 0 3 3 0 3 0 5 1 0 3 3
[362] 2 3 3 3 3
Levels: 0 1 2 3 4 5
library(survival)
library(Exact)
library(plyr)
b<-tabulate(db$site, db$phq_cat, db$area, tests=c("fisher"))
I obtain this error message:
Error in tabulate(db$site, db$phq_cat, db$area, tests = c("fisher")) : unused arguments (db$AREEDISCIPL, tests = c("fisher"))
How cain I handle this?
I also would like to perform stratified wilcoxon rank sum test. Is there a way?
Thank you!