I have made a barplot using ggplot2 and the Journal I need to submit to requires that the axis ticks face inwards.
This is the text representation of my data (dput)
Mean.Inc.melt<-structure(list(Var1 = structure(c(1L, 2L, 1L, 2L, 1L, 2L), .Label = c("Harvest","Pre-Harvest"), class = "factor"), Var2 = structure(c(1L, 1L, 2L, 2L, 3L, 3L), .Label =c("Dip A", "Trip A", "Trip B"), class = "factor"), value = c(2, 34, 1, 36, 3, 46)), .Names =c("Var1", "Var2", "value"), row.names = c(NA, -6L), class = "data.frame")
Including the standard error
SEM.Inc.melt<-structure(list(Var1 = structure(c(1L, 2L, 1L, 2L, 1L, 2L), .Label = c("Harvest", "Pre-Harvest"), class = "factor"), Var2 = structure(c(1L, 1L, 2L, 2L, 3L, 3L), .Label = c("Dip A", "Trip A", "Trip B"), class = "factor"), value = c(1, 12, 1, 2, 1, 6)), .Names = c("Var1", "Var2", "value"), row.names = c(NA, -6L), class = "data.frame")
This is the script I have used so far to create the plot:
ggplot(Mean.Inc.melt,aes(x=Var2,y=value,fill=Var1))+
geom_bar(stat='identity',position=position_dodge(),colour='black')+
scale_fill_manual(values=c('#000000','#FFFFFF'))+
geom_errorbar(aes(ymin=Mean.Inc.melt$value-SEM.Inc.melt$value,
ymax=Mean.Inc.melt$value+SEM.Inc.melt$value),width=.1,
position=position_dodge(.9))+
xlab('Treatment')+
ylab('Percentage Incidence (%)')+
ylim(0,60)+
scale_y_continuous(expand=c(0,0),limits=c(0,60))+
scale_x_discrete(expand=c(0,0))+
theme_bw()+
theme(axis.line=element_line(colour='black'),panel.grid.major=element_blank(),
panel.grid.minor=element_blank(),panel.border=element_blank(),
panel.background=element_blank())+
geom_vline(xintercept=0)+theme(legend.position='none')
I guess the point is - does anyone know if there a way I can get my axis to face inwards?
While I don't understand journals' desire to have tick marks on the inside, it's quite straightforward to achieve this with ggplot
.
The axis.ticks.length
argument to theme
allows you to set the length of tick marks. If this is set to a negative value, tick marks will be plotted inwards. For example (reposting a solution by Dennis Murphy here):
library(ggplot2)
library(grid)
ggplot(mtcars, aes(disp, mpg)) + geom_point() +
theme(axis.ticks.length=unit(-0.25, "cm"), axis.ticks.margin=unit(0.5, "cm"))
As in the example above, you need to adjust the positioning of the tick labels as well, with axis.ticks.margin
.
Note that the value should be passed as a unit
object, which requires that the grid
package (pre-installed with R) is loaded.