Open samussiah opened 4 months ago
Per @jennkrohn, it would be helpful to know how many participants skewed a metric downward, like AE under-reporting. More generally #/% of participants with a 0 in the numerator of a metric.
dfInput %>% group_by(.data$GroupLevel, .data$GroupID) %>% summarize( nParticipantsWithoutEvents = sum(.data$Numerator == 0), nParticipants = n(), pct = nParticipantsWithoutEvents / nParticipants * 100 )
Would need to pass dfInput to the reporting workflow.
dfInput
Metric-specific group-level attributes
Migrating to {gsmApp}
Feature Details
Per @jennkrohn, it would be helpful to know how many participants skewed a metric downward, like AE under-reporting. More generally #/% of participants with a 0 in the numerator of a metric.
Example Code
Possible Implementation
Would need to pass
dfInput
to the reporting workflow.Additional Comments
Metric-specific group-level attributes