Open lorenc5 opened 1 year ago
The par_compute() argument when set to true can swap the results table around on summary(results).
E.g.:
set.seed(18475) ei_results_iter <- ei_iter( data = south_carolina, cand_cols = cands, race_cols = race, totals_col = total, name = "Iter", par_compute = TRUE )
summary(ei_results_iter)
When par_compute is FALSE, the results list out pct_white then pct_black tables; when par_compute = T, the tables are reversed. Results in both are the same but ordering is off.
The par_compute() argument when set to true can swap the results table around on summary(results).
E.g.:
Parallel Computing
set.seed(18475) ei_results_iter <- ei_iter( data = south_carolina, cand_cols = cands, race_cols = race, totals_col = total, name = "Iter", par_compute = TRUE )
summary(ei_results_iter)
When par_compute is FALSE, the results list out pct_white then pct_black tables; when par_compute = T, the tables are reversed. Results in both are the same but ordering is off.