TR.RT.TT.RR | R Documentation |
Dataset for Balaam’s design obtained by simulations to be evaluated by method.A()
, method.B()
.
rds27
Reference Dataset 27 (rds27
)
312 subjects. Balanced (78 subjects in each of the four sequences) and incomplete (T of subject 111 missing in period 2 of sequence RT). No outliers.
A data frame with 624 observations on the following 5 variables:
subject | a factor with 312 levels: 1, 2, ..., 18 |
period | a factor with 2 levels: 1, 2 |
sequence | a factor with 4 levels: TR, RT, TT, RR |
treatment | a factor with 2 levels: T, R |
PK | a numeric vector of pharmacokinetic responses acceptable for reference-scaling |
Dataset | N | CVwR (%) | Evaluation |
rds27 | 312 | >30 | method.A() , method.B() |
In software sequences and treatments are ranked in lexical order. Hence, executing str()
or summary()
will show sequence
as "RR", "RT", "TR", "TT"
and treatment
as "R", "T"
. In BE – by convention – sequences are ordered with T
first. The package follows this convention.
Helmut Schütz (R-code for simulations by Detlew Labes)
Dataset | Origin | Description |
rds27 | R | Simulated with CVwT = CVwR = 35%, CVbT = CVbR = 75%, GMR 0.90. |
str(rds27) row <- c(1:2, 157:158, 313:314, 469:470) rds27[row, ] summary(rds27[2:5])
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