Struct FdaData 

pub struct FdaData {
    pub curves: Option<FdMatrix>,
    pub argvals: Option<Vec<f64>>,
    pub grouping: Vec<GroupVar>,
    pub scalar_vars: Vec<NamedVec>,
    pub tabular: Option<FdMatrix>,
    pub column_names: Option<Vec<String>>,
    pub layers: HashMap<LayerKey, Layer>,
}

Unified FDA data object for pipeline interchange.

Carries functional data (curves + domain) plus optional analysis layers. Nodes read what they need and add their results as new layers.

Fields

curves: Option<FdMatrix>

Functional observations (n × m). None for tabular-only data.

argvals: Option<Vec<f64>>

Evaluation grid (length m).

grouping: Vec<GroupVar>

Named grouping variables (multiple allowed).

scalar_vars: Vec<NamedVec>

Named scalar variables (each length n).

tabular: Option<FdMatrix>

Tabular data for non-functional variables (n × p).

column_names: Option<Vec<String>>

Column names for tabular data.

layers: HashMap<LayerKey, Layer>

Analysis results keyed by layer type.

Implementations

impl FdaData

pub fn from_curves(curves: FdMatrix, argvals: Vec<f64>) -> Self

Create from functional curves + grid.

pub fn from_tabular(tabular: FdMatrix, column_names: Vec<String>) -> Self

Create from tabular (non-functional) data.

pub fn empty() -> Self

Create empty container.

pub fn require_curves(&self) -> Result<(&FdMatrix, &[f64]), String>

Require functional curves to be present.

pub fn require_layer(&self, key: &LayerKey) -> Result<&Layer, String>

Require a specific layer to be present.

pub fn has_layer(&self, key: &LayerKey) -> bool

Check if a layer is present.

pub fn get_layer(&self, key: &LayerKey) -> Option<&Layer>

Get a layer by key.

pub fn set_layer(&mut self, key: LayerKey, layer: Layer)

Set (add or replace) a layer.

pub fn remove_layer(&mut self, key: &LayerKey) -> Option<Layer>

Remove a layer.

pub fn layer_keys(&self) -> Vec<&LayerKey>

List all layer keys present.

pub fn fpca(&self) -> Option<&FpcaLayer>

Get FPCA layer if present.

pub fn distances(&self) -> Option<&DistancesLayer>

Get distances layer if present.

pub fn alignment(&self) -> Option<&AlignmentLayer>

Get alignment layer if present.

pub fn regression(&self) -> Option<&RegressionLayer>

Get regression layer if present.

pub fn clusters(&self) -> Option<&ClusterLayer>

Get cluster layer if present.

pub fn depth(&self) -> Option<&DepthLayer>

Get depth layer if present.

pub fn outliers(&self) -> Option<&OutlierLayer>

Get outlier layer if present.

pub fn n_obs(&self) -> usize

Number of observations (from curves, tabular, or first scalar var).

pub fn n_points(&self) -> usize

Number of grid points (0 if no functional data).

pub fn add_scalar(&mut self, name: impl Into<String>, values: Vec<f64>)

Add a scalar variable.

pub fn get_scalar(&self, name: &str) -> Option<&[f64]>

Get a scalar variable by name.

pub fn add_grouping(&mut self, name: impl Into<String>, labels: Vec<String>)

Add a grouping variable with per-observation string labels.

Unique labels are computed automatically in order of first appearance.

pub fn get_grouping(&self, name: &str) -> Option<&GroupVar>

Look up a grouping variable by name.

Trait Implementations

impl Clone for FdaData

fn clone(&self) -> FdaData

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for FdaData

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

Formats the value using the given formatter.