SymbLegend | R Documentation |
Plots symbols and Legend on a map. There are two different methods (percentile symbols or boxplot symbols) to display the legend.
SymbLegend(X, Y, z, type = "percentile", qutiles = c(0, 0.05, 0.25, 0.75, 0.95, 1),
q = NULL, symbtype = "EDA", symbmagn = 0.8, leg.position = "topright",
leg.title = "", leg.title.cex = 0.8, leg.round = 2, leg.wid = 4, leg.just = "right",
cex.scale = 0.8, xf = 9000, logscale = TRUE, accentuate = FALSE)
X |
X-coordinates |
Y |
Y-coordinates |
z |
values on the coordinates |
type |
"percentile" for percentile legend, "boxplot" for boxplot legend |
qutiles |
considered quantiles if type="percentile" is used |
q |
if not NULL, provide manually data points where to break |
symbtype |
type of symbols to be used; "EDA", "EDAacc", "EDAacc2", "EDAext", "GSC" or "arbit" |
symbmagn |
magnification factor for symbols |
leg.position |
position of the legend, either character like "topright" or coordinates |
leg.title |
title for legend |
leg.title.cex |
cex for legend |
leg.round |
round legend to specified digits "pretty" |
leg.wid |
width (space in numbers) for legend |
leg.just |
how to justify the legend |
cex.scale |
cex for text "log-scale" and for boxplot legend - only for type="boxplot" |
xf |
x-distance from boxplot to number for legend |
logscale |
if TRUE a log scale is used (for boxplot scale) and the log-boxplot is computed |
accentuate |
if TRUE, accentuated symbols are used (here only EDA accentuated!) |
It is possible to choose between different methods for calculating the range of the values for the different symbols.
If type="percentile" the pre-determined quantiles of the data are computed and are used to plot the symbols. If type="boxplot" a boxplot is computed and the values were taken to group the values fot the plot and the legend. In the case that a log scale is used the function boxplotlog is used instead of boxplot.
No return value, creates a plot.
Peter Filzmoser <P.Filzmoser@tuwien.ac.at> http://cstat.tuwien.ac.at/filz/
C. Reimann, P. Filzmoser, R.G. Garrett, and R. Dutter: Statistical Data Analysis Explained. Applied Environmental Statistics with R. John Wiley and Sons, Chichester, 2008.
data(chorizon)
data(kola.background)
el=chorizon[,"As"]
X=chorizon[,"XCOO"]
Y=chorizon[,"YCOO"]
plot(X,Y,frame.plot=FALSE,xaxt="n",yaxt="n",xlab="",ylab="",type="n")
plotbg(map.col=c("gray","gray","gray","gray"),add.plot=TRUE)
SymbLegend(X,Y,el,type="percentile",qutiles<-c(0,0.05,0.25,0.75,0.95,1),symbtype="EDA",
symbmagn=0.8,leg.position="topright",leg.title="As [mg/kg]",leg.title.cex=0.8,leg.round=2,
leg.wid=4,leg.just="right")
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