Specify a stratification method
Specify a stratification method
lcMethodStratify(
response,
stratify,
center = meanNA,
nClusters = NaN,
clusterNames = NULL,
time = getOption("latrend.time"),
id = getOption("latrend.id"),
name = "stratify"
)response |
The name of the response variable. |
stratify |
An |
center |
The |
nClusters |
The number of clusters. This is optional, as this can be derived from the largest assignment number by default, or the number of |
clusterNames |
The names of the clusters. If a |
time |
The name of the time variable. |
id |
The name of the trajectory identification variable. |
name |
The name of the method. |
Other lcMethod implementations:
lcMethod-class,
lcMethodAkmedoids,
lcMethodCrimCV,
lcMethodCustom,
lcMethodDtwclust,
lcMethodFeature,
lcMethodFunFEM,
lcMethodGCKM,
lcMethodKML,
lcMethodLMKM,
lcMethodLcmmGBTM,
lcMethodLcmmGMM,
lcMethodLongclust,
lcMethodMclustLLPA,
lcMethodMixAK_GLMM,
lcMethodMixtoolsGMM,
lcMethodMixtoolsNPRM,
lcMethodRandom
data(latrendData)
# Stratification based on the mean response level
method <- lcMethodStratify("Y", mean(Y) > 0,
clusterNames = c("Low", "High"), id = "Id", time = "Time")
model <- latrend(method, latrendData)
summary(model)
# Stratification function
stratfun <- function(trajdata) {
trajmean <- mean(trajdata$Y)
factor(trajmean > 1.7,
levels = c(FALSE, TRUE),
labels = c("Low", "High"))
}
method <- lcMethodStratify("Y", stratfun, id = "Id", time = "Time")
# Multiple clusters
stratfun3 <- function(trajdata) {
trajmean <- mean(trajdata$Y)
cut(trajmean,
c(-Inf, .5, 2, Inf),
labels = c("Low", "Medium", "High"))
}
method <- lcMethodStratify("Y", stratfun3, id = "Id", time = "Time")Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.