pub struct StatSummary {
pub fun_y: SummaryFun,
pub fun_ymin: SummaryFun,
pub fun_ymax: SummaryFun,
pub fun_data: Option<SummaryData>,
}Expand description
Summarize y values for each unique x. Either a fun.data measure (mean ± CI,
median hilow, …) or three independent scalar SummaryFuns (y / ymin / ymax).
Fields§
§fun_y: SummaryFun§fun_ymin: SummaryFun§fun_ymax: SummaryFun§fun_data: Option<SummaryData>When set, overrides the three scalar functions and computes y/ymin/ymax together (needed for centre-dependent intervals like mean ± CI).
Implementations§
Source§impl StatSummary
impl StatSummary
Sourcepub fn mean_cl_normal() -> Self
pub fn mean_cl_normal() -> Self
Mean with a 95% normal-theory (t) confidence interval.
Sourcepub fn mean_cl_boot() -> Self
pub fn mean_cl_boot() -> Self
Mean with a 95% bootstrap-percentile confidence interval.
Sourcepub fn median_hilow() -> Self
pub fn median_hilow() -> Self
Median with the 2.5% / 97.5% sample quantiles.
Trait Implementations§
Source§impl Default for StatSummary
impl Default for StatSummary
Source§impl Stat for StatSummary
impl Stat for StatSummary
Source§fn compute_group(&self, data: &DataFrame, _scales: &ScaleSet) -> DataFrame
fn compute_group(&self, data: &DataFrame, _scales: &ScaleSet) -> DataFrame
Transform data for a single group.
Source§fn required_aes(&self) -> Vec<Aesthetic>
fn required_aes(&self) -> Vec<Aesthetic>
Required aesthetics this stat needs.
Source§fn default_aes(&self) -> Aes
fn default_aes(&self) -> Aes
Default aesthetic mappings this stat produces.
Source§fn panelwise(&self) -> bool
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.Source§fn validate(&self, _warnings: &mut Vec<String>)
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.Auto Trait Implementations§
impl Freeze for StatSummary
impl RefUnwindSafe for StatSummary
impl Send for StatSummary
impl Sync for StatSummary
impl Unpin for StatSummary
impl UnsafeUnpin for StatSummary
impl UnwindSafe for StatSummary
Blanket Implementations§
Source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
Source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more
Source§impl<T> IntoEither for T
impl<T> IntoEither for T
Source§fn into_either(self, into_left: bool) -> Either<Self, Self> ⓘ
fn into_either(self, into_left: bool) -> Either<Self, Self> ⓘ
Converts
self into a Left variant of Either<Self, Self>
if into_left is true.
Converts self into a Right variant of Either<Self, Self>
otherwise. Read moreSource§fn into_either_with<F>(self, into_left: F) -> Either<Self, Self> ⓘ
fn into_either_with<F>(self, into_left: F) -> Either<Self, Self> ⓘ
Converts
self into a Left variant of Either<Self, Self>
if into_left(&self) returns true.
Converts self into a Right variant of Either<Self, Self>
otherwise. Read more