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 mikis.stasinopoulos@gamlss.org

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.

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, http://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 http://www.gamlss.org/).

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 5.1-0 Index]