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Shows the fit accounting, with the share of the replicates analysed at each rung when the result comes from a ladder, and then two tables with one row per focal effect. The first gives each power estimate beside its Monte Carlo standard error and Wilson interval, so that the precision of the estimate is as visible as the estimate. The second gives Type S beside its Wilson interval and Type M beside its Monte Carlo standard error, both taken over the significant replicates alone.

Usage

# S3 method for class 'pilotr_power'
print(x, digits = 3, ...)

Arguments

x

A pilotr_power object, as returned by power_mixed().

digits

Number of decimal places for the reported rates and for the interval bounds.

...

Ignored, present for consistency with the generic.

Value

x, invisibly.

Details

A result whose focal named sets of coefficients lists the coefficients of each set before the first table, which has one row per set and no true value. It has no second table, since a joint test has no single estimate from which Type S or Type M could be taken.