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Prints the aligned term/value table, then factual footer lines naming the design, the sample size unit, and the requested assurance and desired_power the simulated rates should be read against.

Usage

# S3 method for class 'bucss_sensitivity'
print(x, digits = getOption("bucss.digits", 3L), ...)

Arguments

x

An object of class bucss_sensitivity.

digits

Significant figures for non-integer values; defaults to getOption("bucss.digits", 3).

...

Further arguments, ignored.

Value

x, invisibly.

Examples

plan <- ss_buc_paired_t(t_observed = 3, N = 30, assurance = .80)
ss_buc_sensitivity(plan, true_ncp = 2, replications = 200, seed = 113)
#>  term                          value 
#>  true_ncp                      2     
#>  ncp_adjusted                  0.975 
#>  replications                  200   
#>  publication_rate              0.49  
#>  refusal_rate                  0.51  
#>  attainment                    0.541 
#>  attainment_mcse               0.0503
#>  attainment_with_refusals      0.775 
#>  attainment_with_refusals_mcse 0.0295
#>  size_at_true_effect           61    
#>  size_q25                      45    
#>  size_median                   70.5  
#>  size_q75                      187   
#> 
#> Design: Dependent (paired) t test
#> Sample size unit: number of pairs
#> Requested assurance: .80
#> Target power: .80