legend.m: Add Legend to Margin.

In VCA: Variance Component Analysis

Add Legend to Margin.

Description

This function accepts all parameters applicable in and forwards them to function legend. There will be only made some modifications to the X-coordinate ensuring that the legend is plotted in the right margin of the graphic device. Make sure that you have reserved sufficient space in the right margin, e.g. 'plot.VFP(....., mar=c(4,5,4,10))'.

Usage

legend.m(
  x = c("center", "bottomright", "bottom", "bottomleft", "left", "topleft", "top",
    "topright", "right"),
  y = NULL,
  margin = c("right", "bottomright", "bottom", "bottomleft", "left", "topleft", "top",
    "topright"),
  offset = 0.05,
  ...
)

Arguments

x	(character, numeric) either one of the character strings "center","bottomright", "bottom", "bottomleft", "left", "topleft", "top", "topright", "right" or a numeric values specifying the X-coordinate in user coordinates
y	(numeric) value specifying the Y-coordiante in user coordinates, only used in case 'x' is numeric
margin	(character) string specifying in which part of the margin the legend shall be added, choices are "right", "bottomright", "bottom", "bottomleft", "left", "topleft", "top", "topright" with "right" being the default
offset	(numeric) value in [0, 0.5] specifying the offset as fraction in regard to width of the right margin
...	all parameters applicable in function legend

Author(s)

Andre Schuetzenmeister [e-mail]

Examples

## Not run: 

par( mar=c(10,10,10,10) )
plot(1, type="n", axes=FALSE, xlab="", ylab="")
box()
# add legend to different regions within the 'margin'
legend.m(margin="topleft", 		fill="black",	legend=c("topleft"))
legend.m(margin="top", 			fill="red", 	legend=c("top"))
legend.m(margin="topright", 		fill="blue",	legend=c("topright"))
legend.m(margin="right", 		fill="green",	legend=c("right"))
legend.m(margin="bottomright", 	fill="yellow",	legend=c("bottomright"))
legend.m(margin="bottom", 		fill="orange",	legend=c("bottom"))
legend.m(margin="bottomleft", 	fill="cyan",	legend=c("bottomleft"))
legend.m(margin="left", 			fill="magenta", legend=c("left"))

data(dataEP05A2_3)
dataEP05A2_3$user <- sample(rep(c(1,2), 40))
 
varPlot( y~day+day:run, dataEP05A2_3, mar=c(1,5,1,7), VCnam=list(side=4), 
	        Points=list(pch=list(var="user", pch=c(2, 8))) )
# always check order of factor levels before annotating
order(unique(dataEP05A2_3$user))
legend.m(pch=c(8,2), legend=c("User 1", "User 2"))

# using different colors 
varPlot( y~day+day:run, dataEP05A2_3, mar=c(1,5,1,7), VCnam=list(side=4),
         Points=list(col=list(var="user", col=c("red", "green"))) )
legend.m(fill=c("green", "red"), legend=c("User 1", "User 2"))

# two additional classification variables
dataEP05A2_3$user <- sample(rep(c(1,2), 40))
dataEP05A2_3$cls2 <- sample(rep(c(1,2), 40))

# now combine point-coloring and plotting symbols
# to indicate two additional classification variables
varPlot( y~day+day:run, dataEP05A2_3, mar=c(1,5,1,10),
         VCnam=list(side=4, cex=1.5),
         Points=list(col=list(var="user", col=c("red", "darkgreen")),
                     pch=list(var="cls2", pch=c(21, 22)),
                     bg =list(var="user", bg =c("orange", "green"))) )

# add legend to (right) margin
legend.m(margin="right", pch=c(21, 22, 22, 22), 
         pt.bg=c("white", "white", "orange", "green"),  
         col=c("black", "black", "white", "white"), 
         pt.cex=c(1.75, 1.75, 2, 2),
         legend=c("Cls2=1", "Cls2=2", "User=2", "User=1"), 
         cex=1.5)

## End(Not run)

VCA documentation built on Sept. 7, 2022, 5:07 p.m.