`r lifecycle::badge("stable")`
A widget that generates a time series of group-level metric results over time, plotting snapshot date on the x-axis and the outcome (numerator, denominator, metric, or score) on the y-axis.
Usage
Widget_TimeSeries(
dfResults,
lMetric = NULL,
dfGroups = NULL,
vThreshold = NULL,
strOutcome = "Score",
bAddGroupSelect = TRUE,
strShinyGroupSelectID = "GroupID",
bDebug = FALSE
)
Arguments
- dfResults
`data.frame` A stacked summary of analysis pipeline output. Created by passing a list of results returned by [Summarize()] to [BindResults()]. Expected columns: `GroupID`, `GroupLevel`, `Numerator`, `Denominator`, `Metric`, `Score`, `Flag`, `MetricID`, `StudyID`, `SnapshotDate`.
- lMetric
`list` Metric-specific metadata for use in charts and reporting. Created by passing an `lWorkflow` object to [MakeMetric()] and turing it into a list. Expected columns: `File`,`MetricID`, `Group`, `Abbreviation`, `Metric`, `Numerator`, `Denominator`, `Model`, `Score`, and `strThreshold`. For more details see the Data Model vignette: `vignette("DataModel", package = "gsm.kri")`.
- dfGroups
`data.frame` Group-level metadata dictionary. Created by passing CTMS site and study data to [MakeLongMeta()]. Expected columns: `GroupID`, `GroupLevel`, `Param`, `Value`.
- vThreshold
`numeric` Threshold value(s).
- strOutcome
`character` Outcome variable. Default: 'Score'.
- bAddGroupSelect
`logical` Add a dropdown to highlight sites? Default: `TRUE`.
- strShinyGroupSelectID
`character` Element ID of group select in Shiny context. Default: `'GroupID'`.
- bDebug
`logical` Print debug messages? Default: `FALSE`.
Examples
## Filter data to one metric
reportingResults_filter <- gsm.core::reportingResults %>%
dplyr::filter(MetricID == "Analysis_kri0001")
reportingMetrics_filter <- gsm.core::reportingMetrics %>%
dplyr::filter(MetricID == "Analysis_kri0001") %>%
as.list()
Widget_TimeSeries(
dfResults = reportingResults_filter,
lMetric = reportingMetrics_filter,
dfGroups = gsm.core::reportingGroups,
vThreshold = reportingMetrics_filter$Threshold
)