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Participant 1992 remains in "demographics_race" table because "system_date_time_earliest" in that table is NA. Thus, the exclusion in line 1396 of "4_clean_data.R" does not apply to that table. Check that 1992 is excluded from all relevant tables.
for (i in 1:length(dat)) {
if ("system_date_time_earliest" %in% names(dat[[i]]) &
"participant_id" %in% names(dat[[i]])) {
dat[[i]] <- dat[[i]][!(dat[[i]][, "participant_id"] == 1992 &
(!is.na(dat[[i]][, "system_date_time_earliest"]) &
dat[[i]][, "system_date_time_earliest"] >=
"2020-04-07 00:00 EDT")), ]
} else {
dat[[i]] <- dat[[i]]
}
}
The text was updated successfully, but these errors were encountered:
Participant 1992 remains in "demographics_race" table because "system_date_time_earliest" in that table is NA. Thus, the exclusion in line 1396 of "4_clean_data.R" does not apply to that table. Check that 1992 is excluded from all relevant tables.
The text was updated successfully, but these errors were encountered: