Scales for shapes, aka glyphs

scale_shape maps discrete variables to six easily discernible shapes. If you have more than six levels, you will get a warning message, and the seventh and subsequence levels will not appear on the plot. Use scale_shape_manual() to supply your own values. You can not map a continuous variable to shape.

scale_shape(..., solid = TRUE)

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. na.value If na.translate = TRUE, what value aesthetic value should missing be displayed as? Does not apply to position scales where NA is always placed at the far right. 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

solid

Should the shapes be solid, TRUE, or hollow, FALSE?

Examples

dsmall <- diamonds[sample(nrow(diamonds), 100), ]

(d <- ggplot(dsmall, aes(carat, price)) + geom_point(aes(shape = cut)))
#> Warning: Using shapes for an ordinal variable is not advised
d + scale_shape(solid = TRUE) # the default
d + scale_shape(solid = FALSE)
d + scale_shape(name = "Cut of diamond")

# To change order of levels, change order of
# underlying factor
levels(dsmall$cut) <- c("Fair", "Good", "Very Good", "Premium", "Ideal")

# Need to recreate plot to pick up new data
ggplot(dsmall, aes(price, carat)) + geom_point(aes(shape = cut))
#> Warning: Using shapes for an ordinal variable is not advised

# Show a list of available shapes
df_shapes <- data.frame(shape = 0:24)
ggplot(df_shapes, aes(0, 0, shape = shape)) +
  geom_point(aes(shape = shape), size = 5, fill = 'red') +
  scale_shape_identity() +
  facet_wrap(~shape) +
  theme_void()