Nothing
Code
set.seed(123456)
CalculateFuzzyMeasures(trueData = testMatrix1, imputedData = testMatrix1Res,
imputedMask = testMatrix1Mask, trapezoidal = TRUE)
Output
V1 mean
Euclidean 0.01597974 0.01597974
AHD 0.20373806 0.20373806
HSD 0.14043065 0.14043065
Bertoluzza 0.07935232 0.07935232
DiffVal 0.06332650 0.06332650
DiffAmb 0.07076335 0.07076335
DiffEV 0.05773562 0.05773562
DiffWidth 0.06330741 0.06330741
Code
set.seed(123456)
CalculateFuzzyMeasures(trueData = testMatrix2, imputedData = testMatrix2Res,
imputedMask = testMatrix2Mask, trapezoidal = FALSE)
Output
V1 mean
Euclidean 0.02153806 0.02153806
AHD 0.21252430 0.21252430
HSD 0.15907851 0.15907851
Bertoluzza 0.10464542 0.10464542
DiffVal 0.07428797 0.07428797
DiffAmb 0.03563052 0.03563052
DiffEV 0.07534339 0.07534339
DiffWidth 0.05344578 0.05344578
Code
set.seed(123456)
CalculateFuzzyMeasures(trueData = testDF1, imputedData = testDF1Res,
imputedMask = testDF1Mask, trapezoidal = TRUE)
Output
V1 mean
Euclidean 0.01597974 0.01597974
AHD 0.20373806 0.20373806
HSD 0.14043065 0.14043065
Bertoluzza 0.07935232 0.07935232
DiffVal 0.06332650 0.06332650
DiffAmb 0.07076335 0.07076335
DiffEV 0.05773562 0.05773562
DiffWidth 0.06330741 0.06330741
Code
set.seed(123456)
CalculateFuzzyMeasures(trueData = testDF2, imputedData = testDF2Res,
imputedMask = testDF2Mask, trapezoidal = FALSE)
Output
V1 mean
Euclidean 0.02153806 0.02153806
AHD 0.21252430 0.21252430
HSD 0.15907851 0.15907851
Bertoluzza 0.10464542 0.10464542
DiffVal 0.07428797 0.07428797
DiffAmb 0.03563052 0.03563052
DiffEV 0.07534339 0.07534339
DiffWidth 0.05344578 0.05344578
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