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.
Arguments
- x
an object of class 'calibrate_thresholds', usually returned by the
calibrate_thresholdsfunction- 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
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)
#> # A tibble: 4 × 8
#> pp_threshold ppp_threshold mean_n1_null prop_pos_null prop_stopped_null
#> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 0.85 0.1 13.5 0.1 0.2
#> 2 0.85 0.2 10.5 0.1 0.6
#> 3 0.9 0.1 12.5 0 0.3
#> 4 0.9 0.2 11 0.1 0.5
#> mean_n1_alt prop_pos_alt prop_stopped_alt
#> <dbl> <dbl> <dbl>
#> 1 15 1 0
#> 2 15 0.9 0
#> 3 15 0.5 0
#> 4 15 0.6 0
print(cal_tbl1, type1_range = c(0.05, 0.1), minimum_power = 0.9)
#> # A tibble: 2 × 8
#> pp_threshold ppp_threshold mean_n1_null prop_pos_null prop_stopped_null
#> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 0.85 0.1 13.5 0.1 0.2
#> 2 0.85 0.2 10.5 0.1 0.6
#> mean_n1_alt prop_pos_alt prop_stopped_alt
#> <dbl> <dbl> <dbl>
#> 1 15 1 0
#> 2 15 0.9 0