R/TwoStageDesign.R
, R/OneStageDesign.R
, R/GroupSequentialDesign.R
n.Rd
Methods to access the stage-one, stage-two, or overall sample size of a
TwoStageDesign
.
n1
returns the first-stage sample size of a design,
n2
the stage-two sample size conditional on the stage-one test
statistic and n
the overall sample size n1 + n2
.
When dealing with time-to-event endpoints, the functions n1
, n2
and
n
return the number of events instead of the sample size.
Internally, objects of the class TwoStageDesign
allow non-natural,
real sample sizes to allow smooth optimization (cf. minimize
for
details).
The optional argument round
allows to switch between the internal
real representation and a rounded version (rounding to the next positive
integer).
n1(d, ...)
# S4 method for TwoStageDesign
n1(d, round = TRUE, ...)
n2(d, x1, ...)
# S4 method for TwoStageDesign,numeric
n2(d, x1, round = TRUE, ...)
n(d, x1, ...)
# S4 method for TwoStageDesign,numeric
n(d, x1, round = TRUE, ...)
# S4 method for OneStageDesign,numeric
n2(d, x1, ...)
# S4 method for GroupSequentialDesign,numeric
n2(d, x1, round = TRUE, ...)
design
further optional arguments
logical
should sample sizes be rounded to next integer?
stage-one test statistic
TwoStageDesign
, see c2
for accessing
the critical values
design <- TwoStageDesign(
n1 = 25,
c1f = 0,
c1e = 2.5,
n2 = 50,
c2 = 1.96,
order = 7L
)
n1(design) # 25
#> [1] 25
design@n1 # 25
#> [1] 25
n(design, x1 = 2.2) # 75
#> [1] 75