Make Summary Data Frame

Create a concise summary of assessment results that is easy to aggregate across assessments

Usage

Summarize(dfFlagged, nMinDenominator = lifecycle::deprecated())

Arguments

dfFlagged

data.frame in format produced by Flag().

nMinDenominator

numeric Specifies the minimum denominator required to return a score and calculate a flag. Default: NULL

Value

Simplified finding data.frame with columns for GroupID, GroupType, Metric, Score, Flag when associated with a workflow.

Details

Summarize supports the input data (dfFlagged) from the Flag function.

Data Specification

(dfFlagged) has the following required columns:

• GroupID - Group ID

• GroupLevel - Group Type

• Flag - Flagging value of -1, 0, or 1

• Score - Column from analysis results.

Examples

dfTransformed <- Transform_Rate(analyticsInput)
dfAnalyzed <- Analyze_NormalApprox(dfTransformed)
#> `OverallMetric`, `Factor`, and `Score` columns created from normal
#> approximation.
dfFlagged <- Flag(dfAnalyzed)
#> ℹ Sorted dfFlagged using custom Flag order: 2.Sorted dfFlagged using custom Flag order: -2.Sorted dfFlagged using custom Flag order: 1.Sorted dfFlagged using custom Flag order: -1.Sorted dfFlagged using custom Flag order: 0.
dfSummary <- Summarize(dfFlagged)