View source: R/makeParCoordPlot.R
makeParCoordPlot | R Documentation |
Create a parallel coordinates plot. The input arguments for this functions
are typically generated using bettrGetReady
, which ensures
that all required columns are available.
makeParCoordPlot(
bettrList = NULL,
plotdata,
idCol,
metricCol = "Metric",
valueCol = "ScaledValue",
metricGroupCol = "metricGroup",
metricColors,
idColors,
methods = NULL,
metricGrouping = "---",
highlightMethod = NULL,
labelSize = 10
)
bettrList |
A |
plotdata |
A |
idCol |
Character scalar indicating which column of |
metricCol |
Character scalar indicating which column of |
valueCol |
Character scalar indicating which column of |
metricGroupCol |
Character scalar indicating which column of
|
metricColors |
Named list with colors used for the metrics and
any other metric annotations. Typically obtained as
|
idColors |
Named list with colors used for methods and any other
method annotations. Typically obtained as |
methods |
Character vector containing the methods to include.
If |
metricGrouping |
Character scalar indicating the column of
|
highlightMethod |
Character scalar indicating a method that should be highlighted in the plot. |
labelSize |
Numeric scalar providing the size of the labels in the plot. |
A ggplot
object.
Charlotte Soneson
## Generate example data
df <- data.frame(Method = c("M1", "M2", "M3"),
metric1 = c(1, 2, 3),
metric2 = c(3, 1, 2))
metricInfo <- data.frame(Metric = c("metric1", "metric2", "metric3"),
Group = c("G1", "G2", "G2"))
idInfo <- data.frame(Method = c("M1", "M2", "M3"),
Type = c("T1", "T1", "T2"))
prepData <- bettrGetReady(df = df, idCol = "Method",
metricInfo = metricInfo, idInfo = idInfo)
makeParCoordPlot(bettrList = prepData, highlightMethod = "M2")
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