count.mindat: Caculate the minimum sample size when the number of subgroups...
In kaps: K-Adaptive Partitioning for Survival data

Description Usage Arguments See Also Examples

This function caculates the minimum sample size of each partition when the number of subgroups is given.

1	count.mindat(formula, data, part = 10)

`formula`	a Formula object with a response on the left hand side of the '~' operator, and the covariate terms on the right side. The response has to be a survival object with survival time and censoring status in the Surv function. For more details, see Formula page.
`data`	a data frame with variables used in formula. It needs at least three variables including survival time, censoring status, and a covariate. Multivariate covariates can be supported with "+" sign.
`part`	a numeric object to determine the number of subgroups we want to split.

kaps

	data(toy)
	count.mindat(Surv(time,staus) ~ meta, data = toy, part =5)
	count.mindat(Surv(time,staus) ~ meta, data = toy, part =10)
	count.mindat(Surv(time,staus) ~ meta, data = toy)