Internal seed utilities — seeds

Low-level helpers shared across the seed conversion and validation stack. These functions never touch disk or user I/O; they simply standardize how seeds are checked, typed, and appended so that downstream helpers can focus on the conversions.

Usage

.seeds_check(seeds)

# S3 method for class 'data.frame'
.seeds_check(seeds)

# S3 method for class 'matrix'
.seeds_check(seeds)

# S3 method for class '`NULL`'
.seeds_check(seeds)

# Default S3 method
.seeds_check(seeds)

.seeds_type(seeds)

.switch_seeds(seeds, ...)

.append_seed(seeds, new_seed)

.seeds(...)

Arguments

seeds: A data frame, matrix, or NULL describing seeds.
new_seed: Single-row object to append to an existing seed set.

Components

.seeds_check(): Generic plus methods that coerce arbitrary inputs into the required column pairs while emitting targeted errors.
.seeds_type(): Identifies which coordinate signature a seed object currently follows so that dispatchers can choose the right path.
.switch_seeds(): Wrapper around switch() that routes execution based on the detected type.
.append_seed(): Appends a single seed row after verifying the incoming and existing coordinate systems match.
.seeds(): Thin data.frame constructor with consistent defaults used throughout tests and helper code.