'EDGAR': Experimental Design Generator and Randomiser

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Documentation for package ‘ExperimentalDesignGeneratorandRandomiser’ version 0.1.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

ExperimentalDesignGeneratorandRandomiser-package	Package-level documentation.
as.data.frame.edgar_design	'as.data.frame' method: returns the underlying 'rows' data frame.
as_layout_frames	Access the layout view as a list of data frames (one per section), with section names from 'layout_section_labels'. Returns NULL if the design has no layout.
choose_design	Propose viable alpha design structures for a given treatment count. Mirrors the upstream Python 'choose_design(treatment_count)' helper.
design_alpha	Generate an 'alpha' design.
design_cr	Generate a 'cr_eq' design.
design_cr_unequal	Generate a 'cr_uneq' design.
design_info	Convenience wrapper to fetch a design's metadata (for programmatic introspection by tests or downstream packages).
design_latin	Generate a 'latin' design.
design_rcb	Generate an 'rcb' design.
design_rcb_unequal	Generate an 'rcb_uneq' design.
design_split_plot	Generate a 'split_plot' design.
design_two_factor_rcb	Generate a 'two_factor_rcb' design.
design_variable_blocks	Generate a 'variable_blocks' design.
edgar_py_random	Constructor: returns an environment that owns the MT state. Pass by reference lets 'genrand_uint32' advance the state without copying.
ExperimentalDesignGeneratorandRandomiser	Package-level documentation.
generate_design	Public dispatcher: generate a design by key.
has_layout	Whether the design carries a layout view.
list_designs	List all registered designs with their metadata.
make_rng	Create a fresh seeded RNG.
new_edgar_design	Constructor: build an 'edgar_design' S3 object.
print.edgar_design	'print' method for 'edgar_design'. Mirrors the upstream CLI summary.
propose_alpha_structures	Propose viable alpha design structures for a given treatment count. Mirrors the upstream Python 'choose_design(treatment_count)' helper.
register_design	Register a design.
seeded_randint	Return a random integer between a and b inclusive.
seeded_sample	Return k random items from 'items', without replacement.
seeded_shuffle	Return a new vector with 'items' shuffled by 'rng'.
total_units	Total number of experimental units.
validate_design	Public dispatcher: validate design parameters by key.
validate_treatment_count	Validate treatment counts. Mirrors 'validate_treatment_count'.
with_edgar_seed	Run a block of code with an isolated seeded RNG, restoring the caller's '.Random.seed' afterwards. This is the safety net for any internal code that calls base R 'sample()' or 'runif()' directly; the 'make_rng()' / 'seeded_shuffle()' path does not touch the global state, so this wrapper is provided for completeness and for users who want to call base R sampling under a known seed.
write_edgar_csv	Write a design to a CSV file.
write_edgar_json	Write a design to a JSON file (or return as a string).
write_edgar_xlsx	Write a design to an XLSX file.