# Basic plots of data and output

### Description

Create basic plots of data and state estimates in PSM.

### Usage

1 |

### Arguments

`Data` |
Data list, see description in |

`Smooth` |
Output from |

`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: |

### Value

None (invisible `NULL`

).

### Note

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

in R.

### Author(s)

Stig B. Mortensen and S<f8>ren Klim

### References

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

.

### See Also

`PSM`

, `PSM.estimate`

, `PSM.smooth`

,
`PSM.simulate`

, `PSM.template`

### Examples

1 | ```
cat("\nExamples are included in the package vignette.\n")
``` |