R: A function to plot parallel plot for repeated measurement...

par.plot {gamlss} | R Documentation

## A function to plot parallel plot for repeated measurement data

### Description

This function can be used to plot parallel plots for each individual in a repeated measurement study. It is based on the `coplot()` function of `R`.

### Usage

    par.plot(formula = NULL, data = NULL, subjects = NULL,
              color = TRUE, show.given = TRUE, ...)

### Arguments

`formula` | a formula describing the form of conditioning plot. A formula of the form `y ~ x | a` indicates that plots of `y` versus `x` should be produced conditional on the variable `a`. A formula of the form `y ~ x| a * b` indicates that plots of `y` versus `x` should be produced conditional on the two variables `a` and `b`.
`data` | a data frame containing values for any variables in the formula. This argument is compulsory.
`subjects` | a factor which distinguish between the individual participants
`color` | whether the parallel plot are shown in colour, `color=TRUE` (the default) or not `color=FALSE`
`show.given` | logical (possibly of length 2 for 2 conditioning variables): should conditioning plots be shown for the corresponding conditioning variables (default 'TRUE')
`...` | for extra arguments

### Value

It returns a plot.

### Note

Note that similar plot can be fount in the library `nlme` by Pinheiro and Bates

### Author(s)

Mikis Stasinopoulos d.stasinopoulos@londonmet.ac.uk

### References

Rigby, R. A. and Stasinopoulos D. M. (2005). Generalized additive models for location, scale and shape,(with discussion), App. Statist., 54, part 3, pp 507-554.

Rigby, R. A., Stasinopoulos, D. M., Heller, G. Z., and De Bastiani, F. (2019) Distributions for modeling location, scale, and shape: Using GAMLSS in R, Chapman and Hall/CRC. An older version can be found in https://www.gamlss.com/.

Stasinopoulos D. M. Rigby R.A. (2007) Generalized additive models for location scale and shape (GAMLSS) in R. Journal of Statistical Software, Vol. 23, Issue 7, Dec 2007, https://www.jstatsoft.org/v23/i07/.

Stasinopoulos D. M., Rigby R.A., Heller G., Voudouris V., and De Bastiani F., (2017) Flexible Regression and Smoothing: Using GAMLSS in R, Chapman and Hall/CRC.

(see also https://www.gamlss.com/).

### See Also

`gamlss`

### Examples

    library(nlme)
    data(Orthodont)
    par.plot(distance~age,data=Orthodont,subject=Subject)
    par.plot(distance~age|Sex,data=Orthodont,subject=Subject)
    par.plot(distance~age|Subject,data=Orthodont,subject=Subject,show.given=FALSE)

[Package gamlss version 5.3-2 Index]