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Reformat benchmark.r
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@@ -8,21 +8,21 @@ destination <- "exreport/"
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results <- read.csv(csv_file)
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library(exreport)
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experiment <- expCreate(results, method="classifier", problem="dataset", name="Stree")
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testAccuracy <- testMultipleControl(experiment, args[1], "max")
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summary(testAccuracy)
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table1 <- tabularTestSummary(testAccuracy, columns = c("pvalue", "rank", "wtl"))
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testScore <- testMultipleControl(experiment, args[1], "max")
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summary(testScore)
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table1 <- tabularTestSummary(testScore, columns = c("pvalue", "rank", "wtl"))
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table1
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plot1 <- plotExpSummary(experiment, args[1], columns = 3)
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plot2 <- plotCumulativeRank(testAccuracy)
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plot3 <- plotRankDistribution(testAccuracy)
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plot2 <- plotCumulativeRank(testScore)
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plot3 <- plotRankDistribution(testScore)
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report <- exreport("Stree Report")
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# Add the experiment object for reference:
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report <- exreportAdd(report, experiment)
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# Now add the test:
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report <- exreportAdd(report, testAccuracy)
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report <- exreportAdd(report, testScore)
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# Finally you can add the different tables and plots.
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report <- exreportAdd(report, list(plot1,plot2,table1,plot3))
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report <- exreportAdd(report, list(plot1, plot2, table1, plot3))
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# At this point we would like to include an additional item in our report. We need a detailed table of our experiment,
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# as we are preparing a scientific paper and we would like to have an overview of it to be included in an annex,
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# despite the good summaries that we are providing with the plots and tests. Fortnunately, we have another built in
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