Hi,

I have designed the following data set with survival times for two different groups:

```
Timesexample<- c(6,6,6,7,10,13,16,22,23,6,9,10,11,17,19,20,25,32,32,34,35, 1,1,2,2,3,4,4,5,5,8,8,8,8,11,11,12,12,15,17,22,23)
Eventsex<-c(1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0, 1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1)
Group<-c(0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0, 1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1)
object<-Surv(Timesexample, Eventsex)
Group <- factor(Group, labels = c("A", "B"))
Tablex<-data.frame(object, Group)
```

I am trying to compare both survival curves in order to get the p-values for Long-rank, wilcoxon, tarone, peto and flemington-harrington tests. I have seen that function `comp()`

from package survMisc can perform such tests, however when I applied `comp()`

to my data, I get the following error message:

```
library(survMisc)
fit = survfit(Surv(Timesexample, Eventsex) ~ Group, data = Tablex)
comp(fit)$tests$lrTests
```

no applicable method for 'comp' applied to an object of class "survfit"

Can anyone help me to solve this problem? I have already tried comp(ten()) as some post suggest, but it doesn't seem to work either.

Thank you