Crate rsomics_gradient_trajectory 

Structs

Coords

Ordination coordinates: a sample-id-indexed matrix of PC axis values, plus the per-axis proportion explained. Either a plain TSV/CSV (#id header then one row per sample) or an scikit-bio OrdinationResults file, whose Site block carries the same matrix and whose Proportion explained block carries the vector.

GradientResult

Metadata

Sample metadata: a #SampleID header naming the columns, then one row per sample. Values are strings; numeric coercion happens at use sites (sort, weighting).

Params

Enums

Algorithm

Functions

gradient_anova

QIIME-style gradient/trajectory ANOVA over a precomputed ordination, the scikit-bio GradientANOVA family. For each requested metadata category it builds per-group trajectories through the ordination space and runs one-way ANOVA across the groups.

parse_coords

parse_metadata

parse_prop

Proportion explained: one value per axis, whitespace- or newline-separated.

run

Errors

write_tsv

Write the gradient ANOVA result as TSV. One block per category: a header line with the ANOVA probability (or the skip message), then for each group a line with its mean and the trajectory components.