
Create a bar chart for ranks in a BenchmarkResult.
Source:R/plotBMRRanksAsBarChart.R
      plotBMRRanksAsBarChart.RdPlots a bar chart from the ranks of algorithms. Alternatively,
tiles can be plotted for every rank-task combination, see pos
for details. In all plot variants the ranks of the learning algorithms are displayed on
the x-axis. Areas are always colored according to the learner.id.
Usage
plotBMRRanksAsBarChart(
  bmr,
  measure = NULL,
  ties.method = "average",
  aggregation = "default",
  pos = "stack",
  order.lrns = NULL,
  order.tsks = NULL,
  pretty.names = TRUE
)Arguments
- bmr
- (BenchmarkResult) 
 Benchmark result.
- measure
- (Measure) 
 Performance measure. Default is the first measure used in the benchmark experiment.
- ties.method
- ( - character(1))
 See rank for details.
- aggregation
- ( - character(1))
 “mean” or “default”. See getBMRAggrPerformances for details on “default”.
- pos
- ( - character(1))
 Optionally set how the bars are positioned in ggplot2. Ranks are plotted on the x-axis. “tile” plots a heat map with- taskas the y-axis. Allows identification of the performance in a special task. “stack” plots a stacked bar plot. Allows for comparison of learners within and and across ranks. “dodge” plots a bar plot with bars next to each other instead of stacked bars.
- order.lrns
- ( - character(n.learners))
 Character vector with- learner.idsin new order.
- order.tsks
- ( - character(n.tasks))
 Character vector with- task.idsin new order.
- pretty.names
- ( - logical(1))
 Whether to use the short name of the learner instead of its ID in labels. Defaults to- TRUE.
See also
Other plot: 
createSpatialResamplingPlots(),
plotBMRBoxplots(),
plotBMRSummary(),
plotCalibration(),
plotCritDifferences(),
plotLearningCurve(),
plotPartialDependence(),
plotROCCurves(),
plotResiduals(),
plotThreshVsPerf()
Other benchmark: 
BenchmarkResult,
batchmark(),
benchmark(),
convertBMRToRankMatrix(),
friedmanPostHocTestBMR(),
friedmanTestBMR(),
generateCritDifferencesData(),
getBMRAggrPerformances(),
getBMRFeatSelResults(),
getBMRFilteredFeatures(),
getBMRLearnerIds(),
getBMRLearnerShortNames(),
getBMRLearners(),
getBMRMeasureIds(),
getBMRMeasures(),
getBMRModels(),
getBMRPerformances(),
getBMRPredictions(),
getBMRTaskDescs(),
getBMRTaskIds(),
getBMRTuneResults(),
plotBMRBoxplots(),
plotBMRSummary(),
plotCritDifferences(),
reduceBatchmarkResults()