Ggplot2 scale_x_continuous restrictions or absolute

Question

I use the following ggplot2 v0.9 scale_x_continuous logic in a loop (by county name) in an attempt to plot the data of each county on a separate graph with the same x scales.

MaxDays=365*3; p <- p + scale_x_continuous(limits=c(0,MaxDays)) p <- p + scale_x_continuous(breaks=seq(0,MaxDays,60)) 

The logic works fine if all countries have data> = MaxDate. However, if the number of days is less than MaxDate, the x-bar charts are not uniform (for example, 0-720 days)

How to set scalse to absolute, not limit?

Any help would be greatly appreciated

 ############################################ ### Sample Data Below ############################################ # County 1 data Days=seq(1,30,1) Qty=Days*10 County=rep("Washington",length(Days)) df1=data.frame(County, Qty, Days) # County 2 data Days=seq(1,15,1) Qty=Days*20 County=rep("Jefferson",length(Days)) df2=data.frame(County, Qty, Days) # County 1 and 2 data df3=rbind(df1,df2) # calculate ranges for x scales yrng=range(df3$Qty) xrng=range(df3$Days) # Scatter Plots fname=paste("C:/test",".pdf",sep=""); pdf(fname,10,8,onefile=TRUE,paper="a4r"); p <- ggplot() cnty=unique(df3$County) n=length(unique(df3$County)) for (i in 1:n){ df4<-subset(df3, County==cnty[i]) p <- ggplot(df4, aes(x=Days, y=Qty)) p <- p + geom_point() p <- p + opts(title=cnty[i]) p <- p + scale_x_continuous(limits=c(xrng[1],xrng[2])) p <- p + scale_x_continuous(breaks=seq(xrng[1],xrng[2],1)) p <- p + coord_cartesian(xlim=c(xrng[1],xrng[2])) print(p); } dev.off() 

Answer 1

 p <- p + coord_cartesian(xlim=c(0, MaxDays)) 

EDIT: based on the comments.

Your problem is that the second scale_x_continuous() replaces, not increases, the first, so the restrictions are not preserved.

You can replace the lines

 p <- p + scale_x_continuous(limits=c(xrng[1],xrng[2])) p <- p + scale_x_continuous(breaks=seq(xrng[1],xrng[2],1)) 

from

 p <- p + scale_x_continuous(limits=c(xrng[1],xrng[2]), breaks=seq(xrng[1],xrng[2],1)) 

which gives something like this: