testlen<-runif(10,0,10)
testpos<-seq(0,18*pi/10,length=10)
testlab<-letters[1:10]
oldpar<-radial.plot(testlen,testpos,main="Test Radial Lines",line.col="red",
lwd=3,rad.col="lightblue")
testlen<-c(sin(seq(0,1.98*pi,length=100))+2+rnorm(100)/10)
testpos<-seq(0,1.98*pi,length=100)
radial.plot(testlen,testpos,rp.type="p",main="Test Polygon",line.col="blue",
labels=LETTERS[1:8],label.pos=seq(0,14*pi/8,length.out=8))
# now do a 12 o'clock start with clockwise positive
radial.plot(testlen,testpos,start=pi/2,clockwise=TRUE,show.grid.labels=2,
rp.type="s",main="Test Symbols (clockwise)",radial.lim=c(0,3.5),
point.symbols=16,point.col="green",show.centroid=TRUE,
labels=LETTERS[1:6],label.pos=seq(0,10*pi/6,length.out=6))
# one without the circular grid and multiple polygons
# see the "diamondplot" function for variation on this
posmat<-matrix(sample(2:9,30,TRUE),nrow=3)
radial.plot(posmat,labels=paste("X",1:10,sep=""),rp.type="p",
main="Spiderweb plot",line.col=2:4,show.grid=FALSE,lwd=1:3,
radial.lim=c(0,10))
# dissolved ions in water
ions<-c(3.2,5,1,3.1,2.1,4.5)
ion.names<-c("Na","Ca","Mg","Cl","HCO3","SO4")
radial.plot(ions,labels=ion.names,rp.type="p",main="Dissolved ions in water",
grid.unit="meq/l",radial.lim=c(0,5),poly.col="yellow",show.grid.labels=3)
# add the names of the ions to the plot
radial.plot(ions,rp.type="t",point.symbols=ion.names,radial.lim=c(0,5),
add=TRUE)
# add points inside the polygon - radial.lim is supplied by plotrix_env
radial.plot(ions-0.4,rp.type="s",point.symbols=4,point.col="red",add=TRUE)
radmat<-matrix(c(sample(1:4,4),sample(1:4,4),sample(1:4,4),sample(1:4,4),
sample(1:4,4),sample(1:4,4),sample(1:4,4),sample(1:4,4),
sample(1:4,4),sample(1:4,4)),nrow=4)
# finally a rank clock
radial.plot(radmat,rp.type="l",radial.pos=seq(0,20*pi/11.1,length.out=10),
label.pos=seq(0,20*pi/11.1,length.out=10),start=pi/2,clockwise=TRUE,
labels=2001:2010,radial.lim=c(0.2,4),main="Rank clock")
legend(-1.7,4,c("Black","Red","Green","Blue"),col=1:4,lty=1)
par(xpd=oldpar$xpd,mar=oldpar$mar,pty=oldpar$pty)
# reset the margins
par(mar=c(5,4,4,2))
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