```
scale_x_discrete(..., expand = waiver())
scale_y_discrete(..., expand = waiver())
```

...

common discrete scale parameters:

`name`

, `breaks`

,
`labels`

, `na.value`

, `limits`

and `guide`

. See
`discrete_scale`

for more detailsexpand

a numeric vector of length two giving multiplicative and
additive expansion constants. These constants ensure that the data is
placed some distance away from the axes.

ggplot(diamonds, aes(cut)) + geom_bar() # The discrete position scale is added automatically whenever you # have a discrete position. (d <- ggplot(subset(diamonds, carat > 1), aes(cut, clarity)) + geom_jitter()) d + scale_x_discrete("Cut") d + scale_x_discrete("Cut", labels = c("Fair" = "F","Good" = "G", "Very Good" = "VG","Perfect" = "P","Ideal" = "I")) # Use limits to adjust the which levels (and in what order) # are displayed d + scale_x_discrete(limits=c("Fair","Ideal")) # you can also use the short hand functions xlim and ylim d + xlim("Fair","Ideal", "Good") d + ylim("I1", "IF") # See ?reorder to reorder based on the values of another variable ggplot(mpg, aes(manufacturer, cty)) + geom_point() ggplot(mpg, aes(reorder(manufacturer, cty), cty)) + geom_point() ggplot(mpg, aes(reorder(manufacturer, displ), cty)) + geom_point() # Use abbreviate as a formatter to reduce long names ggplot(mpg, aes(reorder(manufacturer, displ), cty)) + geom_point() + scale_x_discrete(labels = abbreviate)