Artificial longitudinal dataset comprising three classes

Source: R/data.R

An artificial longitudinal dataset comprising 200 trajectories belonging to one of 3 classes. Each trajectory deviates in intercept and slope from its respective class trajectory.

latrendData

Format

A data.frame comprising longitudinal observations from 200 trajectories. Each row represents the observed value of a trajectory at a specific moment in time.

Id

integer: The trajectory identifier.

Time

numeric: The measurement time, between 0 and 2.

Y

numeric: The observed value at the respective time Time for trajectory Id.

Class

factor: The reference class.

data(latrendData)
head(latrendData)
#>   Id      Time           Y   Class
#> 1  1 0.0000000 -1.08049205 Class 1
#> 2  1 0.2222222 -0.68024151 Class 1
#> 3  1 0.4444444 -0.65148373 Class 1
#> 4  1 0.6666667 -0.39115398 Class 1
#> 5  1 0.8888889 -0.19407876 Class 1
#> 6  1 1.1111111 -0.02991783 Class 1

Source

This dataset was generated using generateLongData.

Examples

data(latrendData)

if (require("ggplot2")) {
  plotTrajectories(latrendData, id = "Id", time = "Time", response = "Y")

  # plot according to the reference class
  plotTrajectories(latrendData, id = "Id", time = "Time", response = "Y", cluster = "Class")
}