scale_x_comma {lares} | R Documentation |
Axis scales format
Description
The _comma
ones set comma format for axis text, the _percent
ones set percent format for axis text, _dollar
for collar currency,
and _abbr
for abbreviated format. Lastly, use _formatNum
to
further customize your numerical scales with formatNum
.
Usage
scale_x_comma(...)
scale_y_comma(...)
scale_x_percent(...)
scale_y_percent(...)
scale_x_dollar(...)
scale_y_dollar(...)
scale_x_abbr(...)
scale_y_abbr(...)
scale_x_formatNum(
...,
decimals = 2,
signif = NULL,
type = Sys.getenv("LARES_NUMFORMAT"),
pre = "",
pos = "",
sign = FALSE,
abbr = FALSE
)
scale_y_formatNum(
...,
decimals = 2,
signif = NULL,
type = Sys.getenv("LARES_NUMFORMAT"),
pre = "",
pos = "",
sign = FALSE,
abbr = FALSE
)
Arguments
... |
Arguments passed to |
decimals |
Integer. Amount of decimals to display. If set to
|
signif |
Integer. Rounds the values in its first argument to the specified number of significant digits. |
type |
Integer. |
pre , pos |
Character. Add string before or after number. |
sign |
Boolean. Add |
abbr |
Boolean. Abbreviate using num_abbr()? You can use
the ‘decimals' parameter to set abbr’s |
Value
Reformatted scales on ggplot2 object
Examples
library(ggplot2)
df <- ggplot2::txhousing %>% removenarows(all = FALSE)
ggplot(df, aes(x = sales, y = volume)) +
geom_point() +
scale_x_dollar() +
scale_y_abbr()
# Use any argument from scale_x/y_continuous
ggplot(df, aes(x = listings, y = log(inventory))) +
geom_point() +
scale_x_comma() +
scale_y_percent(limits = c(0, 3))
# Use any argument from scale_x/y_continuous AND formatNum
ggplot(df, aes(x = median, y = inventory)) +
geom_point() +
scale_x_formatNum(n.breaks = 3, pre = "@", abbr = TRUE) +
scale_y_formatNum(position = "right", decimals = 0, pos = " X")