These functions are what underpins the ability of certain geoms to work automatically in both directions. See the Extending ggplot2 vignette for how they are used when implementing Geom, Stat, and Position classes.

## Usage

has_flipped_aes(
data,
params = list(),
main_is_orthogonal = NA,
range_is_orthogonal = NA,
group_has_equal = FALSE,
ambiguous = FALSE,
main_is_continuous = FALSE,
main_is_optional = FALSE
)

flip_data(data, flip = NULL)

flipped_names(flip = FALSE)

## Arguments

data

The layer data

params

The parameters of the Stat/Geom. Only the orientation parameter will be used.

main_is_orthogonal

If only x or y are present do they correspond to the main orientation or the reverse. E.g. If TRUE and y is present it is not flipped. If NA this check will be ignored.

range_is_orthogonal

If xmin/xmax or ymin/ymax is present do they correspond to the main orientation or reverse. If NA this check will be ignored.

group_has_equal

Is it expected that grouped data has either a single x or y value that will correspond to the orientation.

ambiguous

## Details

has_flipped_aes() is used to sniff out the orientation of the layer from the data. It has a range of arguments that can be used to finetune the sniffing based on what the data should look like. flip_data() will switch the column names of the data so that it looks like x-oriented data. flipped_names() provides a named list of aesthetic names that corresponds to the orientation of the layer.

## Controlling the sniffing

How the layer data should be interpreted depends on its specific features. has_flipped_aes() contains a range of flags for defining what certain features in the data correspond to:

• main_is_orthogonal: This argument controls how the existence of only a x or y aesthetic is understood. If TRUE then the exisiting aesthetic would be then secondary axis. This behaviour is present in stat_ydensity() and stat_boxplot(). If FALSE then the exisiting aesthetic is the main axis as seen in e.g. stat_bin(), geom_count(), and stat_density().

• range_is_orthogonal: This argument controls whether the existance of range-like aesthetics (e.g. xmin and xmax) represents the main or secondary axis. If TRUE then the range is given for the secondary axis as seen in e.g. geom_ribbon() and geom_linerange().

• group_has_equal: This argument controls whether to test for equality of all x and y values inside each group and set the main axis to the one where all is equal. This test is only performed if TRUE, and only after less computationally heavy tests has come up empty handed. Examples are stat_boxplot() and stat_ydensity

• ambiguous: This argument tells the function that the layer, while bidirectional, doesn't treat each axis differently. It will circumvent any data based guessing and only take hint from the orientation element in params. If this is not present it will fall back to FALSE. Examples are geom_line() and geom_area()

• main_is_continuous: This argument controls how the test for discreteness in the scales should be interpreted. If TRUE then the main axis will be the one which is not discrete-like. Conversely, if FALSE the main axis will be the discrete-like one. Examples of TRUE is stat_density() and stat_bin(), while examples of FALSE is stat_ydensity() and stat_boxplot()

• main_is_optional: This argument controls the rare case of layers were the main direction is an optional aesthetic. This is only seen in stat_boxplot() where x is set to 0 if not given. If TRUE there will be a check for whether all x or all y are equal to 0