count.mindat: Caculate the minimum sample size when the number of subgroups...

Description Usage Arguments See Also Examples

View source: R/accessaries.R

Description

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

Usage

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

Arguments

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.

See Also

kaps

Examples

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	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)

kaps documentation built on May 29, 2017, 10:28 p.m.

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