| orm_run | R Documentation |
orm_run() is the single-function entry point for a complete ORISMA
analysis. It runs all pipeline steps automatically:
Deduplication (3-step: DOI + title + fuzzy)
Risk category extraction (dictionary-based)
Bibliometric analysis (WRDI, RCS, MGP indicators)
Automatic dimension detection (normative blocks)
Abstract Sufficiency Score (ASS, 0-5)
Bridge article detection and priority ranking
library(orisma)
refs <- orm_load("my_references/")
result <- orm_run(refs)
orm_report(result, lang = "es")
All intermediate objects are stored in the result for downstream use
with orm_report(), orm_risk_sheet(), orm_ranking(), and
orm_extraction_matrix().
orm_run(
refs,
dict = orm_dict(),
topic = NULL,
autodim_method = "blocks",
material_col = NULL,
year_col = "year",
fuzzy_threshold = 0.9,
fields = c("title", "abstract", "keywords"),
lang = getOption("orisma.lang", "en"),
verbose = getOption("orisma.verbose", TRUE),
save_report = FALSE,
out_dir = getOption("orisma.out_dir", "orisma_output")
)
refs |
An |
dict |
An |
topic |
Character. Domain or technology being analysed (e.g. 'Noise in construction', 'Metal AM'). Used in plot subtitles and report headers. If NULL, neutral generic text is used. |
autodim_method |
Character. |
material_col |
Character or NULL. Column for MGP. Default NULL. |
year_col |
Character. Year column. Default |
fuzzy_threshold |
Numeric. Deduplication threshold. Default |
fields |
Character vector. Text fields for extraction. Default
|
lang |
Character. |
verbose |
Logical. Default |
save_report |
Logical. Auto-call |
out_dir |
Character. Output directory if |
An orisma_result object containing all indicators, analyses,
dimensions (result$dims), extraction matrix (result$mx),
ASS scores and bridge classification (in result$mx$refs),
and priority ranking (result$ranking).
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