ggplot2 (version 3.0.0)

scale_linetype: Scale for line patterns

Description

Default line types based on a set supplied by Richard Pearson, University of Manchester. Continuous values can not be mapped to line types.

Usage

scale_linetype(..., na.value = "blank")
scale_linetype_continuous(...)
scale_linetype_discrete(..., na.value = "blank")

Arguments

...

Arguments passed on to discrete_scale

breaks

One of:

• NULL for no breaks

• waiver() for the default breaks computed by the transformation object

• A character vector of breaks

• A function that takes the limits as input and returns breaks as output

limits

A character vector that defines possible values of the scale and their order.

drop

Should unused factor levels be omitted from the scale? The default, TRUE, uses the levels that appear in the data; FALSE uses all the levels in the factor.

na.translate

Unlike continuous scales, discrete scales can easily show missing values, and do so by default. If you want to remove missing values from a discrete scale, specify na.translate = FALSE.

aesthetics

The names of the aesthetics that this scale works with

scale_name

The name of the scale

palette

A palette function that when called with a single integer argument (the number of levels in the scale) returns the values that they should take

name

The name of the scale. Used as axis or legend title. If waiver(), the default, the name of the scale is taken from the first mapping used for that aesthetic. If NULL, the legend title will be omitted.

labels

One of:

• NULL for no labels

• waiver() for the default labels computed by the transformation object

• A character vector giving labels (must be same length as breaks)

• A function that takes the breaks as input and returns labels as output

guide

A function used to create a guide or its name. See guides() for more info.

super

The super class to use for the constructed scale

na.value

The linetype to use for NA values.

Examples

# NOT RUN {
base <- ggplot(economics_long, aes(date, value01))
base + geom_line(aes(group = variable))
base + geom_line(aes(linetype = variable))

# See scale_manual for more flexibility

# Common line types ----------------------------
df_lines <- data.frame(
  linetype = factor(
    1:4,
    labels = c("solid", "longdash", "dashed", "dotted")
  )
)
ggplot(df_lines) +
  geom_hline(aes(linetype = linetype, yintercept = 0), size = 2) +
  scale_linetype_identity() +
  facet_grid(linetype ~ .) +
  theme_void(20)
# }