RunIndicators.RdExecutes the specified indicator rules using the given RuleEngine object and provides options for output customization.
RunIndicators(
rule_engine,
indicators_rules,
only_true_indicators = TRUE,
append_results = FALSE,
to_csv = NULL,
to_parquet = NULL
)RuleEngine object. Used to apply the indicator rules on the associated dataset.
List of objects of class `SqlRuleIndicator` (MatchAny, MatchAll, MatchAnyWhere, MatchAllWhere, CustomMatch). Each object represents an indicator rule to be applied.
Logical. If `TRUE`, the function returns only the records that meet at least one of the indicators. Defaults to `TRUE`.
Logical. If `TRUE`, the function returns the original dataset along with the indicators. If `FALSE`, only the `unique_identifier_column` and the indicator results are returned. Defaults to `FALSE`.
Character or `NULL`. Path to save the results as a CSV file. If `NULL`, no CSV file is created. Defaults to `NULL`.
Character or `NULL`. Path to save the results as a parquet file format with gzip compression. Defaults to `NULL`.
Depends on the parameter values: - If `only_true_indicators = TRUE`, only the records matching at least one indicator are returned. - If `append_results = TRUE`, the full dataset with appended indicators is returned. - If `append_results = FALSE`, only the `unique_identifier_column` and the indicator results are returned. - If `to_csv` or `to_parquet` is specified, the results are saved to the respective file format.
This function ensures that all `indicators_rules` are objects of class `SqlRuleIndicator` (MatchAny, MatchAll, MatchAnyWhere, MatchAllWhere, CustomMatch). If any invalid object is passed, the function stops with an error.
if (FALSE) { # \dontrun{
# Example usage:
df <- read.csv("dataset.csv", sep = "|", header = TRUE)
rule_engine <- RuleEngine(df,"hospitalization_id")
target_columns <- c("diagnosis1")
definition_codes <- c("F10.10","F10.11","F10.120","F10.121")
alcohol_indicator <- IndicR4Health::MatchAny(
rule_engine,
"alcohol_i",
target_columns,
definition_codes
)
indicators_rules <- list(alcohol_indicator)
# Option return data frame
result <- IndicR4Health::RunIndicators(
rule_engine,
indicators_rules,
only_true_indicators = TRUE,
append_results = FALSE
)
# Option save to csv file
IndicR4Health::RunIndicators(
rule_engine,
indicators_rules,
only_true_indicators = TRUE,
append_results = FALSE,
to_csv = "output.csv"
)
# Option save to parquet file
IndicR4Health::RunIndicators(
rule_engine,
indicators_rules,
only_true_indicators = TRUE,
append_results = FALSE,
to_csv = "output.parquet"
)
} # }