print.calibrate_thresholds: Print method for 'calibrate_thresholds' objects

In ppseq: Design Clinical Trials using Sequential Predictive Probability Monitoring

Print method for calibrate_thresholds objects

Description

By default prints only the res_summary table from an object of class 'calibrate_thresholds'. The table can be limited to a range of type 1 error and a minimum value of power using the arguments 'type1_range' and 'minimum_power' respectively.

Usage

## S3 method for class 'calibrate_thresholds'
print(x, type1_range = c(0, 1), minimum_power = 0, ...)

Arguments

x	an object of class 'calibrate_thresholds', usually returned by the calibrate_thresholds function
type1_range	a vector specifying the minimum and maximum acceptable type I error. Specify c(0, 1) to return the full range of resulting type I error. Defaults to c(0, 1)
minimum_power	a numeric between 0 and 1 specifying the minimum acceptable power. Specify 0 to return the full range of resulting power. Defaults to 0.
...	ignored

Value

Returns a tibble

Examples

set.seed(123)

cal_tbl1 <- calibrate_thresholds(
  p_null = 0.1,
  p_alt = 0.4,
  n = seq(5, 15, 5),
  N = 15,
  pp_threshold = c(0.85, 0.9),
  ppp_threshold = c(0.1, 0.2),
  S = 10,
  nsim = 10
  )

print(cal_tbl1)
print(cal_tbl1, type1_range = c(0.05, 0.1), minimum_power = 0.9)

ppseq documentation built on April 18, 2023, 1:08 a.m.