plotVAR1data: Time series plot
In ragt2ridges: Ridge Estimation of Vector Auto-Regressive (VAR) Processes

Description Usage Arguments Author(s) See Also Examples

Plot of time series data. Per variate and individual a line connecting the observations at each time point is plotted.

1	plotVAR1data(Y, lwd=1)

`Y`	Three-dimensional `array` containing the data. The first, second and third dimensions correspond to covariates, time and samples, respectively. The data are assumed to be zero centered covariate-wise, per sample.
`lwd`	A `numeric` of length one, specifying the line width.

Wessel N. van Wieringen <w.vanwieringen@vumc.nl>

dataVAR1.

# set dimensions (p=covariates, n=individuals, T=time points)
p <- 3; n <- 4; T <- 10

# set model parameters
SigmaE <- diag(p)/4
A      <- createA(p, "chain")

# generate data
Y <- dataVAR1(n, T, A, SigmaE)

# plot data sampled from the VAR(1) model.
plotVAR1data(Y, lwd=2)