Orchestrates all steps from data loading through report generation.
Supports checkpoint/resume for expensive API operations. Drives Modes
2 (Codebook Collaborative) and 3 (Framework Applied); Mode 1
(Reflexive Scaffold) uses run_mode1 instead.
Usage
run_analysis(config_path, resume = FALSE, config_overrides = list())Arguments
- config_path
Path to YAML config file. The config must declare
methodology$modeas one of"codebook_collaborative"or"framework_applied"(Mode 1 has its own entry point). For Mode 3, the config must also setmethodology$framework_spec_pathto a built-in framework alias ("tpb","comb","tdf") or a path to a custom framework YAML/JSON.- resume
Logical; if TRUE, resume from last checkpoint. Per AC5 (soft-lock with audit trail), a finalized run cannot be resumed in place – doing so would overwrite the canonical outputs without a fork record. Use
clone_run_with_new_modeto fork into a new run dir.- config_overrides
Named list of overrides applied after the YAML config is loaded. Two equivalent styles are supported and may be mixed: dot-path keys (
list("study.research_focus" = "x")) and nested named lists (list(study = list(research_focus = "x"))). Both deep-merge into the loaded config; sibling fields under the same parent key are preserved. Seeload_configfor the full leaf-vs-recurse rule.
Value
Invisible list with data, analytic_data,
coding_state, theme_set, correlations,
insights, learning_context, comparison_result,
export_files, temporal_results (the
analyze_temporal_patterns() result, or NULL when the corpus has
no std_timestamp column or the analysis failed; when temporal
data exist, the prevalence/emergence PNGs are written to
output_dir when produced – the prevalence chart requires more
than one time period and the emergence chart at least one dated theme),
output_dir, config, integrity.
See also
run_mode1 (Mode 1 entry point);
create_config (config builder);
load_framework_spec (Mode 3 framework loader);
vignette("methodology-modes") (per-mode worked examples).
Examples
if (FALSE) { # \dontrun{
# Mode 2 (Codebook Collaborative) -- the auto-pipeline
create_config(
methodology = "codebook_collaborative",
study_name = "My Study",
research_focus = "How does X relate to Y?",
database_path = "my_data.db",
output_path = "config.yaml"
)
result <- run_analysis("config.yaml")
# Mode 3 (Framework Applied) -- apply a theoretical framework
create_config(
methodology = "framework_applied",
framework_spec_path = "tpb", # built-in TPB; or path to custom spec
study_name = "TPB analysis",
research_focus = "Behavioral intention -> behavior",
database_path = "my_data.db",
output_path = "config.yaml"
)
result <- run_analysis("config.yaml")
} # }