R: Basic plots of data and output

PSM.plot {PSM}

R Documentation

Basic plots of data and output

Create basic plots of data and state estimates in PSM.

  PSM.plot(Data, Smooth = NULL, indiv = NULL, type = NULL)

`Data`	Data list, see description in `PSM.estimate`.
`Smooth`	Output from `PSM.smooth`.
`indiv`	A vector of integers with which individuals to include.
`type`	A vector of strings listing the types of plots to create. The possibilities are: ‘Y’ Observations ‘U’ Input ‘X’ Simulated states at sample times ‘longX’ Simulated states with time increment `deltaTime` ‘Xp’ Predicted states ‘Xf’ Filtered states ‘Xs’ Smoothed states ‘Yp’ Response based on predicted state ‘Ys’ Response based on smoothed state ‘Yp.Y’ As above with observations added ‘Ys.Y’ As above with observations added ‘res’ Residuals (Y-Yp) ‘acf’ Auto-correlation of residuals ‘eta’ Shows estimates of random effects in plot. If `Smooth` is not given it will show the value of simulated random effects if they are contained in `Data`. If a string is preceeded by ‘logx.’, ‘logy.’ or ‘logx.logy.’ the corresponding axis is shown on log-scale. An example is: `type=c('Xs','logy.Ys.Y','res','eta')`

None (invisible NULL).

For further details please also read the package vignette pdf-document by writing vignette("PSM") in R.

Stig B. Mortensen and Søren Klim

Please visit http://www.imm.dtu.dk/psm or refer to the help page for PSM.

cat("\nExamples are included in the package vignette.\n")

[Package PSM version 0.8-3 Index]