Improve performance with dtplyr #74
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hsl-petrhaj
approved these changes
May 22, 2023
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I tested this PR by running the old and new codebase and comparing the results. |
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Should be fine to merge then. |
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This PR introduces
dtplyrin places that have poor performance. In these places, we wish to calculate summaries from agents' tours per agent which means ~1.3-1.7M groups (agents) with ~1.7 rows (tours) on average per group. As suggested here (tidyverse/dplyr#5017) I useddtplyrinstead ofdplyrin key functions that I recognized to be slow.Runtime decreased 98 % from 210 minutes to only 4 minutes.
Closes #62