Struct StatYDensity 

pub struct StatYDensity {
    pub n_points: usize,
    pub trim: bool,
    pub bw: Option<f64>,
    pub adjust: f64,
    pub quantiles: Vec<f64>,
}

Kernel density estimation on Y per group (for violin plots). Outputs: x (group value), y (eval points), violinwidth (density normalized to [0, 1]). The geom mirrors violinwidth around the group’s x slot.

Also emits density (the raw estimate), n (the group’s count) — which the geom’s scale = "area" | "count" need — and, when quantiles is set, a quantiles cell with the group’s sample quantiles ("q1,q2,…").

Fields

n_points: usize

trim: bool

Evaluate over the data range only (trim = TRUE, default); false extends ±3 bandwidths into the tails.

bw: Option<f64>

Fixed kernel bandwidth; None = R’s bw.nrd0.

adjust: f64

Bandwidth multiplier (adjust, default 1).

quantiles: Vec<f64>

Sample quantiles to report (quantiles, e.g. [0.25, 0.5, 0.75]).

Trait Implementations

impl Clone for StatYDensity

fn clone(&self) -> Self

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for StatYDensity

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for StatYDensity

fn default() -> Self

Returns the “default value” for a type.

impl PartialEq for StatYDensity

fn eq(&self, other: &Self) -> bool

Equality operator ==.

fn ne(&self, other: &Rhs) -> bool

Inequality operator !=.

impl Stat for StatYDensity

fn compute_group(&self, data: &DataFrame, _scales: &ScaleSet) -> DataFrame

Transform data for a single group.

fn required_aes(&self) -> Vec<Aesthetic>

Required aesthetics this stat needs.

fn name(&self) -> &str

Name for debug/display.

fn default_aes(&self) -> Aes

Default aesthetic mappings this stat produces.

fn panelwise(&self) -> bool

If true, the stat receives every row of a panel at once (grouped only by facet variables) instead of once per aesthetic group. Needed for cross-group comparisons such as stat_compare_means, which must see all groups together. Defaults to per-group behaviour.

fn validate(&self, _warnings: &mut Vec<String>)

Validate the stat’s own fixed configuration (not the data) and push a human-readable warning for each problem found — e.g. StatBinHex::binwidth being NaN, zero or negative. Called once per layer, before compute_group runs (which has no warnings channel of its own: the per-group call only sees &DataFrame and &ScaleSet, not the plot’s warnings sink). Default: no-op.

impl StructuralPartialEq for StatYDensity