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Group-level visualization of scores.

Source: R/Visualize_Score.R
Visualize_Score.Rd

[Stable]

Usage

Visualize_Score(
  dfResults,
  vThreshold = NULL,
  strType = "Metric",
  bFlagFilter = FALSE,
  strTitle = ""
)

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.

vThreshold

numeric Threshold specification, a vector of length 2 that defaults to NULL.

strType

character One of "KRI" or "score".

bFlagFilter

logical Filter out non-flagged groups? Default: FALSE

strTitle

character Title of plot.

Value

group-level ggplot2 object.

Examples

## Filter data to one metric and snapshot
reportingResults_filter <- reportingResults %>%
  dplyr::filter(MetricID == "Analysis_kri0001" & SnapshotDate == max(SnapshotDate))

Visualize_Score(dfResults = reportingResults_filter)


## Only show Flagged Groups
Visualize_Score(
  dfResults = reportingResults_filter,
  bFlagFilter = TRUE
)


## Custom Title
Visualize_Score(
  dfResults = reportingResults_filter,
  strTitle = "Custom Title"
)