How to remove gap at end of ggplot2 graph
ggplot2, r
Solution
As the Month in your data is numerical, try replace
scale_x_discrete("Month",breaks=c(2,5,8,11),labels=c("February","May","August","November"))
with
scale_x_continuous("Month",breaks=c(2,5,8,11),labels=c("February","May","August","November"))
leaving all other parameters the same
Problem
My input file is here on PasteBin. My current graph code is: ``` #Input and data formatting merg_agg_creek<-read.table("merged aggregated creek.txt",header=TRUE) library(ggplot2) library(grid) source("http://egret.psychol.cam.ac.uk/statistics/R/extensions/rnc_ggplot2_border_themes.r") CombinedCreek<-data.frame(merg_agg_creek) Combined<-CombinedCreek[order(CombinedCreek[,2]),] Combined$Creek <- factor(rep(c('Culvert Creek','North Silcox','South Silcox','Yucca Pen'),c(32,57,51,31))) Combined$Creek<-factor(Combined$Creek,levels(Combined$Creek)[c(1,4,3,2)]) #The Graph Code creek <-ggplot(Combined,aes(Month,Density,color=factor(Year),shape=factor(Year)))+scale_color_discrete("Year")+scale_shape_discrete("Year") creek<-creek + facet_grid(Creek~. ,scales = "free_y") creek <- creek + geom_jitter(position = position_jitter(width = .3)) creek<-creek+scale_color_grey("Year",end=.6)+theme_bw() creek<-creek+scale_y_continuous(expression("Number of prey captured " (m^2) ^-1)) creek<-creek+opts( panel.border = theme_L_border() )+ opts(axis.line = theme_segment()) creek<-creek+opts(panel.grid.minor = theme_blank())+opts(panel.grid.major = theme_blank()) creek<-creek+scale_x_discrete("Month",breaks=c(2,5,8,11),labels=c("February","May","August","November")) creek ``` The resulting graph is: Graph My issue is that by creating the breaks and labels in "scale_x_discrete", a large gap exists on the righthand side of the plot, between the data in December and the facet labels. I tried eliminating this gap by adding "limits=c(0,13)" to the "scale_x_discrete: command, but the resulting graph destroys the x-labels. How do I remove that gap? Is there something fundamentally flawed in my plot creation? Thanks! EDIT: Didzis answered the question below. I just need to change from scale_x_discrete to scale_x_continuous