datagen {longke} | R Documentation |
Simulate longitudinal data
Description
Function used to simulate sample sparse and irregular longitudinal data
Usage
datagen(ntotal,ntest,t_all,t_split,seed)
Arguments
ntotal |
Number of total longitudinal subjects |
ntest |
Number of total longitudinal subjects in the testing set |
t_all |
Vector of discrete measurement time (i.e 1,2,3,4,...) |
t_split |
A measurement time where the longitudinal response is of interest to predict after this t_split |
seed |
Seed to derive replicable data |
Value
A list containing two elements
- train
A long format data matrix containing one functional response (yy) and two functional predictors (xx,zz) with (ntotal-ntest) subjects
- test
A long format data matrix containing one functional response (yy) and two functional predictors (xx,zz) with (ntest) subjects
Examples
data = datagen(ntotal=350,ntest=50,t_all=1:50,t_split=25,seed=1)
data$test
data$train
[Package longke version 0.1.0 Index]