group.plots: Plot function for grouped data

In qrLMM: Quantile Regression for Linear Mixed-Effects Models

Plot function for grouped data

Description

Functions for plotting a profiles plot for grouped data.

Usage

group.plot(x,y,groups,...)
group.lines(x,y,groups,...)
group.points(x,y,groups,...)

Arguments

y	the response vector of dimension N where N is the total of observations.
x	vector of longitudinal (repeated measures) covariate of dimension N. For example: Time, location, etc.
groups	factor of dimension N specifying the partitions of the data over which the random effects vary.
...	additional graphical arguments passed to matplot. See par.

Author(s)

Christian E. Galarza <[e-mail]> and Victor H. Lachos <[e-mail]>

See Also

Orthodont, Cholesterol, QRLMM

Examples

## Not run: 
#A full profile plot for Soybean data

data(Soybean,package = "qrNLMM")
attach(Soybean)

group.plot(x = Time,y = weight,groups = Plot,type="b",
             main="Soybean profiles",xlab="time (days)",
             ylab="mean leaf weight (gr)")

#Profile plot by genotype

group.plot(x = Time[Variety=="P"],y = weight[Variety=="P"],
             groups = Plot[Variety=="P"],type="l",col="blue",
             main="Soybean profiles by genotype",xlab="time (days)",
             ylab="mean leaf weight (gr)")

group.lines(x = Time[Variety=="F"],y = weight[Variety=="F"],
              groups = Plot[Variety=="F"],col="black")

## End(Not run)

qrLMM documentation built on Oct. 25, 2022, 5:05 p.m.