Description Usage Arguments Details Value Examples
View source: R/FunctionsImmunogenicitySample.R
Function creates non-diseased immunogenicity subset, and vaccinated and control immunogenicity subsets based on chosen method. The immunogenicity subsets are provided in the form of population class objects (see the Population-class
function for more details).
1 2 3 | BlindSampling(diseased,
nondiseased,
method = list(name = "Full", value = NA))
|
diseased |
|
nondiseased |
|
method |
named list: "name" possible inputs "Full", "Ratio", "Fixed"; "value" = numeric value |
For details about the method parameter see ImmunogenicitySubset
function.
ImmunogenicityVaccinated: vaccinated subjects in the immunogenicity subset, Population-class
object (N, mean, stdDev, titers)
ImmunogenicityControl: control subjects in the immunogenicity subset, Population-class
object (N, mean, stdDev, titers)
ImmunogenicityNondiseased: non-diseased subjects in the immunogenicity subset, Population-class
object (N, mean, stdDev, titers)
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 | # Data preparation
data(diseased)
data(nondiseased)
## Example 1
# Creating immunogenicity subset, method = "Full"
ImmunogenicitySubsetFull <-
BlindSampling(diseased,
nondiseased,
method = list(name = "Full",
value = NA))
## Example 2
# Creating of immunogenicity subset, method = "Ratio"
ImmunogenicitySubsetRatio <-
BlindSampling(diseased,
nondiseased,
method = list(name = "Ratio",
value = 4))
## Example 3
# Creating of immunogenicity subset, method = "Fixed"
ImmunogenicitySubsetFixed <-
BlindSampling(diseased,
nondiseased,
method = list(name = "Fixed",
value = 100))
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