**Edit, there are two great solutions here, one is marked as the answer, but @hrbrmstr provides a great solution combining two ggplots which works well for this simple plot.
Something like this, perhaps. Note the setting of expand
for both axes to deal with proper spacing, and positions of the category names.
The labels in your figure aren't really off-centre, they are in the centre of their category boundary. It's just that by default the axes are expanded a bit further.
If you want to get more fancy, you can draw outside of the plotting area too, but it requires a bit more fiddeling. This question should get you started.
ggplot(mpg, aes(class))+
geom_bar()+
geom_text(data = data.frame(br = breaks.minor), aes(y = br, label = br, x = 7.75),
size = 4, col = 'grey30') +
coord_flip()+
scale_y_continuous(limit = lims, minor_breaks = breaks.minor,
breaks = breaks.major, labels = labels.minor,
expand = c(0, 0)) +
scale_x_discrete(expand = c(0.05, 0)) +
theme(panel.grid.major.x = element_blank()) +
theme(panel.grid.major.y = element_blank()) +
theme(axis.ticks.x=element_blank()) +
theme(axis.title= element_blank())
I think this does what you're looking for:
library(ggplot2)
library(grid)
library(gtable)
library(gridExtra)
breaks.major <- c(0, 15, 37.5, 52.5, 67.5, 82.5, 95, 100)
breaks.minor <- c(30, 45, 60, 75, 90)
labels.minor <- c("", "Extremely\nDissatisfied", "Dissatisfied", "Uncertain",
"Satisfied", "Very\nSatisfied", "Extremely\nSatisfied", "")
lims <- c(0, 100)
# build the main plot with the text axis
gg1 <- ggplot(mpg, aes(class))
gg1 <- gg1 + geom_bar()
gg1 <- gg1 + scale_y_continuous(expand=c(0,0), limit=lims,
minor_breaks=breaks.minor,
breaks=breaks.major,
labels=labels.minor)
gg1 <- gg1 + coord_flip()
gg1 <- gg1 + theme(panel.grid.major.x=element_blank())
gg1 <- gg1 + theme(panel.grid.major.y=element_blank())
gg1 <- gg1 + theme(axis.ticks.x=element_blank())
gg1 <- gg1 + theme(axis.title=element_blank())
# let ggplot2 do the work of building the second axis
gg2 <- ggplot(mpg, aes(class))
gg2 <- gg2 + scale_y_continuous(expand=c(0,0), limit=lims,
breaks=c(0, breaks.minor, 100))
gg2 <- gg2 + coord_flip()
gg2 <- gg2 + theme(axis.ticks.x=element_blank())
gg2 <- gg2 + theme(axis.text.x=element_text(hjust=c(0, 0.5, 0.5, 0.5, 0.5, 0.5, 1)))
gt1 <- ggplot_gtable(ggplot_build(gg1))
gt2 <- ggplot_gtable(ggplot_build(gg2))
axis2 <- grid.arrange(gt2$grobs[[5]])
gt <- gtable_add_rows(gt1, unit(0.1, "null"), 4)
grid.arrange(gtable_add_grob(gt, axis2, t=5, l=4, b=5, r=4))
I wrote all labels as major-labels.
# OP's
breaks.major <- c(0,15,37.5,52.5,67.5,82.5,95,100) #defines the midpoints of the categories (label locations)
breaks.minor <- c(30,45,60,75,90) #defines the edges of the categories (second label set I need)
labels.minor <- c("","Extremely \nDissatisfied","Dissatisfied","Uncertain","Satisfied","Very \nSatisfied","Extremely \nSatisfied","")
lims =c(0,100)
breaks.major2 <- c(0,15,37.5,52.5,67.5,82.5,95)
breaks.minor2 <- c(30,45,60,75,90,100) # put 100 into minor from major
breaks.comb <- sort(c(breaks.major2, breaks.minor2 - 1.0E-6)) # avoid the just same value as minor
label.comb <- c(0, "\nExtremely \nDissatisfied", 30, "\nDissatisfied", 45, "\nUncertain", 60,
"\nSatisfied", 75, "\nVery \nSatisfied", 90, "\nExtremely \nSatisfied", 100)
library(ggplot2)
g <- ggplot(mpg, aes(class))+
geom_bar()+
coord_flip()+
scale_y_continuous(limit = lims, minor_breaks = breaks.minor2, breaks = breaks.comb,
labels = label.comb, expand = c(0,0)) +
theme(panel.grid.major.x = element_blank()) +
theme(panel.grid.major.y = element_blank()) +
theme(axis.ticks.x=element_blank()) +
theme(axis.title= element_blank()) +
theme(plot.margin = unit(c(0.5, 0.5, 0.5, 0.5), "lines"))