centipede.plot(segs,mct="mean",lower.limit="std.error",
upper.limit=lower.limit,left.labels=NULL,right.labels=NULL,sort.segs=TRUE,
main="",xlab=NA,pch=21,vgrid=NA,hgrid=NA,gridcol="lightgray",mar=NA,col=par("fg"),
bg="green",...)
The vgrid argument is usually used to display an average value for all of the midpoints. If one or more values are passed in this argument, they will be displayed as vertical lines spanning the plot. The hgrid argument acts like the grid function, drawing dashed horizontal lines across the plot. If hgrid=NULL, these lines will be drawn under the values displayed, which will be 1 to the number of values on the vertical axis. The user can pass explicit values if desired. With horizontal and optionally vertical grid lines, the centipede plot is practically equivalent to a dotplot with error bars. Similarly, centipede plots typically have a large number of subsets, and it may be necessary to start the graphics device with an aspect ratio that will prevent crowding of the labels when over 30 segments are displayed. The matrix segs may be entered manually or read from a file. The first row specifies midpoints, the second and third rows the lower and upper limits respectively and the fourth row the number of valid observations. If there are no values for number of valid observations, just pass vector of blank strings with the right.labels argument. If a dstat object is passed as segs, the function will calculate the lower and upper values according to the relevant arguments. This type of plot is also known as a caterpillar plot or a league table.
testcp<-list("",40)
for(i in 1:40) testcp[[i]]<-rnorm(sample(1:8,1)*50)
segs<-get.segs(testcp)
centipede.plot(segs,main="Test centipede plot",vgrid=0)
# now leave out the number of valid observations, pass x labels and no right labels
centipede.plot(segs[1:3,],main="Test centipede plot",vgrid=0,mar=c(4,5,3,2),
left.labels=paste("X",1:40,sep=""),right.labels=rep("",40))
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