Print and summarise a POSC

print() gives a compact description of the curve and its probabilities at a few differences in the predictor. summary() returns those probabilities as a data frame, at differences of your choosing.

Usage

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

# S3 method for class 'posc'
summary(object, delta = NULL, ...)

Arguments

x, object

A "posc" object.

digits

Number of decimal places to print.

...

Unused.

delta

Differences in the predictor at which to report the curve. Defaults to 0.5, 1 and 2 standard deviations of the predictor.

Value

print() returns x invisibly. summary() returns a data frame as described in predict.posc().

Examples

fit <- posc_uni(r = 0.4, n = 250)
fit
#> Probability of Outcome Superiority Curve
#>   Method:    bivariate normal
#>   Predictor: X    Outcome: Y
#>   r = 0.400, 95% CI [0.290, 0.499], n = 250
#> 
#>   P(higher Y | X higher by delta):
#>  delta     p lower upper
#>  0.500 0.561 0.543 0.581
#>  1.000 0.621 0.585 0.658
#>  2.000 0.731 0.666 0.792
summary(fit, delta = c(0.25, 0.5, 1))
#>   delta         p     lower     upper
#> 1  0.25 0.5307486 0.5213875 0.5405695
#> 2  0.50 0.5613147 0.5427135 0.5807206
#> 3  1.00 0.6211896 0.5849388 0.6581703