mcr (version 1.2.1)

includeLegend: Include Legend

Description

Include legend in regression plot (function plot()) or in bias plot (function plotBias ()) with two or more lines.

Usage

includeLegend(models = list(), digits = 2, design = paste(1:2),
  place = c("topleft", "topright", "bottomleft", "bottomright"), colors,
  lty = rep(1, length(models)), lwd = rep(2, length(models)),
  box.lty = "blank", cex = 0.8, bg = "white", inset = c(0.01, 0.01),
  bias = FALSE, model.names = NULL, ...)

Arguments

models

list of length n with Objects of class "MCResult".

digits

number of digits in Coefficients.

design

type of legend design. There are two possible designs: "1" and "2" (See example).

place

place for Legend: "topleft","topright","bottomleft" or "bottomright".

colors

vector of length n with color of regression lines.

lty

vector of length n with type of regression lines.

lwd

vector of length n with thickness of regression lines.

box.lty

box line-type

cex

numeric value representing the plotting symbol magnification factor

bg

the background-color of the legend box

inset

inset distance(s) from the margins as a fraction of the plot region when legend is placed by keyword.

bias

logical value. If bias = TRUE, it will be drawn a legend for plotBias() function.

model.names

legend names for different models. If NULL the regression type will be used.

...

other parameters of function legend().

Value

Legend in plot.

See Also

plot.mcr, plotBias, plotResiduals, plotDifference, compareFit

Examples

# NOT RUN {
#library("mcr")

 data(creatinine,package="mcr")
 x <- creatinine$serum.crea
 y <- creatinine$plasma.crea

 m1 <- mcreg(x,y,method.reg="Deming", mref.name="serum.crea",
                                        mtest.name="plasma.crea", na.rm=TRUE)
 m2 <- mcreg(x,y,method.reg="WDeming", method.ci="jackknife",
                                         mref.name="serum.crea",
                                         mtest.name="plasma.crea", na.rm=TRUE)

 plot(m1,  XLIM=c(0.5,3),YLIM=c(0.5,3), Legend=FALSE,
                          Title="Deming vs. weighted Deming regression",
                          Points.pch=19,ci.area=TRUE, ci.area.col=grey(0.9),
                          identity=FALSE, Grid=FALSE, Sub="")
 plot(m2, ci.area=FALSE, ci.border=TRUE, ci.border.col="red3",
                          reg.col="red3", Legend=FALSE,add=TRUE,
                          Points=FALSE, identity=FALSE, Grid=FALSE)

 includeLegend(place="topleft",models=list(m1,m2),
                          colors=c("darkblue","red"), design="1", digits=2)
# }