| ggbar | R Documentation |
Aesthetic mappings that this grob function understands:
x:x position (required)
y:y position (required)
fill:fill colour (see sccolour)
ggbar(plot, aesthetics = list(), ..., data = NULL)
plot |
the plot object to modify |
aesthetics |
named list of aesthetic mappings, see details for more information |
... |
other options, see details for more information |
data |
data source, if not specified the plot default will be used |
These can be specified in the plot defaults (see ggplot) or
in the aesthetics argument. If you want to modify the position
of the points or any axis options, you will need to add a position scale to
the plot. These functions start with ps, eg.
pscontinuous or pscategorical
Other options:
avoid: how should overplotting be dealt with?
"none" (default) = do nothing, "stack" = stack bars on top of one another,
"dodge" = dodge bars from side to side
sort: Should the values of the bars be sorted
ggrect
cyltab <- as.data.frame(table(cyl=mtcars$cyl))
p <- ggplot(cyltab, aes=list(y=Freq, x=cyl))
ggbar(p)
ggbar(p, fill="white", colour="red")
#Can also make a stacked bar chart
p <- ggplot(mtcars, aes=list(y=1, x=factor(cyl)))
ggbar(p, avoid="stack")
ggbar(p, avoid="stack", colour="red") # Made up of multiple small bars
p <- ggplot(mtcars, aes=list(y=mpg, x=factor(cyl)))
ggbar(p, avoid="stack")
ggbar(p, avoid="dodge", sort=TRUE)
ggbar(p, aes=list(fill=mpg), avoid="dodge", sort=TRUE)
ggbar(p, avoid="stack", sort=TRUE)
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