Generate longitudinal test data
Generate longitudinal test data
generateLongData(
sizes = c(40, 60),
fixed = Value ~ 1 + Time,
cluster = ~1 + Time,
random = ~1,
id = getOption("latrend.id"),
data = data.frame(Time = seq(0, 1, by = 0.1)),
fixedCoefs = c(0, 0),
clusterCoefs = cbind(c(-2, 1), c(2, -1)),
randomScales = cbind(0.1, 0.1),
rrandom = rnorm,
noiseScales = c(0.1, 0.1),
rnoise = rnorm,
clusterNames = LETTERS[seq_along(sizes)],
shuffle = FALSE
)sizes |
Number of strata per cluster. |
fixed |
Fixed effects formula. |
cluster |
Cluster effects formula. |
random |
Random effects formula. |
id |
Name of the strata. |
data |
Data with covariates to use for generation. Stratified data may be specified by adding a grouping column. |
fixedCoefs |
Coefficients matrix for the fixed effects. |
clusterCoefs |
Coefficients matrix for the cluster effects. |
randomScales |
Standard deviations matrix for the size of the variance components (random effects). |
rrandom |
Random sampler for generating the variance components at location 0. |
noiseScales |
Scale of the random noise passed to rnoise. Either scalar or defined per cluster. |
rnoise |
Random sampler for generating noise at location 0 with the respective scale. |
clusterNames |
A |
shuffle |
Whether to randomly reorder the strata in which they appear in the data.frame. |
longdata <- generateLongData(sizes = c(40, 70), id = "Id",
cluster = ~poly(Time, 2, raw = TRUE),
clusterCoefs = cbind(c(1, 2, 5), c(-3, 4, .2)))
plotTrajectories(longdata, response = "Value", id = "Id", time = "Time")Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.