Default line types based on a set supplied by Richard Pearson, University of Manchester. Continuous values can not be mapped to line types unless scale_linetype_binned() is used. Still, as linetypes has no inherent order, this use is not advised.

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

scale_linetype_binned(..., na.value = "blank")

scale_linetype_continuous(...)

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

## Arguments

... Arguments passed on to discrete_scale paletteA palette function that when called with a single integer argument (the number of levels in the scale) returns the values that they should take (e.g., scales::hue_pal()). breaksOne of: NULL for no breaks waiver() for the default breaks (the scale limits) A character vector of breaks A function that takes the limits as input and returns breaks as output limitsA character vector that defines possible values of the scale and their order. dropShould 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.translateUnlike 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. aestheticsThe names of the aesthetics that this scale works with. scale_nameThe name of the scale that should be used for error messages associated with this scale. nameThe name of the scale. Used as the 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. labelsOne 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 guideA function used to create a guide or its name. See guides() for more information. superThe super class to use for the constructed scale The linetype to use for NA values.

## Examples

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)