Accelerating Grouped Aggregations in R with data.table
Learn how to replace slow base R aggregate() functions with data.table for high-performance grouped summaries on large datasets, including syntax for .SD and key optimization.
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rHandling data loss when using the collapse command for aggregation
Dataset Reduction via Collapse The collapse command in Stata is used to aggregate data into summary statistics, effectively transforming the dataset in memory into a summary table based on specified grouping variables. Because this operation replaces the active dataset with the aggregated results, the original observation-level data is removed from memory. T
stata