`r lifecycle::badge("experimental")`
Creates a summary table showing cross-study site risk score metrics including number of studies, average and maximum risk scores, and investigator names.
Usage
SummarizeCrossStudy(
dfResults,
strGroupLevel = "Site",
dfGroups = NULL,
strNameCol = "InvestigatorLastName"
)Arguments
- dfResults
`data.frame` A data frame containing results from multiple studies.
- strGroupLevel
`character` The group level to summarize. Default is 'Site'.
- dfGroups
`data.frame` Optional. A data frame containing group metadata (for InvestigatorName lookup). Must include StudyID, GroupID, Param, and Value columns.
- strNameCol
`character` The column name in dfGroups to use for investigator names. Default is 'InvestigatorLastName'.
Value
`data.frame` Summary table with the following columns: - GroupID: Site identifier - NumStudies: Number of studies the site participates in - AvgRiskScore: Average site risk score across studies - MaxRiskScore: Maximum site risk score across studies - InvestigatorName: Investigator name (if dfGroups provided)