plot.binDesign {binGroup} | R Documentation |
Plot function to visualize the power curve.
## S3 method for class 'binDesign' plot(x, ...)
x |
an object of class "binDesign, as can be created by |
... |
plot parameters as described in |
A plot.
binPower
for calculation of power
# Find a sample size for which the power to reject # H0: p >= 0.1 in favor of HA: p < 0.1 # is at least 0.9 (90 percent) in case that # the true proportion is 0.04 (i.e. an absolute delta # of 0.06 to the threshold proportion p.hyp=0.1) # The exact one sided Clopper-Pearson CI shall be used # with default confidence level = 0.95. sasi<-binDesign( nmax=200, delta=0.06, p.hyp=0.1, alternative="less", method="CP", power=0.9) sasi # Plot the result # plot(sasi) # for larger sample sizes this can be very time consuming. # Better to use only a smaller range of n then: sasi<-binDesign( nmax=c(200,300), delta=0.03, p.hyp=0.1, alternative="less", method="CP", power=0.9) plot(sasi)