n_dist,FarringtonManningmethod {blindrecalc}  R Documentation 
Calculates the distribution of the total sample sizes of designs with blinded sample size recalculation for different values of the nuisance parameter or of n1.
## S4 method for signature 'FarringtonManning'
n_dist(
design,
n1,
nuisance,
summary,
plot,
allocation = c("exact", "approximate"),
...
)
design 
Object of class 
n1 
Either the sample size of the first stage (if

nuisance 
Value of the nuisance parameter in (0,1). For the FarringtonManning test this is the overall response rate. 
summary 
Is a summary of the sample size distribution desired? Otherwise, a vector with sample sizes is returned. 
plot 
Should a plot of the sample size distribution be drawn? 
allocation 
Whether the allocation ratio should be preserved
exactly ( 
... 
Further optional arguments. 
Only sample sizes that occur with a probability of at least 0.01 are considered.
The method is only vectorized in either nuisance
or n1
.
Summary and/or plot of the sample size distribution for each nuisance parameter and every value of n1.
d < setupFarringtonManning(alpha = 0.025, beta = 0.2, r = 1,
delta = 0, delta_NI = 0.25)
n_dist(d, n1 = 30, nuisance = 0.2, summary = TRUE, plot = FALSE)