plot.MVSF: Plot Results of MVSF Tests

In pmartinezarbizu/RFtools: Miscellaneous Tools For Random Forest Models

Description

Plot results of Multivariate Structure and Flexibility Test.

Usage

## S3 method for class 'MVSF'
plot(x, pnull = 0.05, psmooth = 0.05)

Arguments

x	Object created by MVSF.test()
pnull	Significance level for the multivariate structure test
psmooth	Significance level for the flexibility test

Details

For each class, the trained OOB, the prediction error of smoothed class and the error under null model is plotted. For the null error the 0.5-0.95 quantile interval is plotted as error line. Filled symbols indicate significant difference under alfa level defined by pnull and psmooth.

Author(s)

Pedro Martinez Arbizu

References

Rossel, S. & P. Martinez Arbizu (2018) Automatic specimen identification of Harpacticoids (Crustacea:Copepoda) using Random Forest and MALDI‐TOF mass spectra, including a post hoc test for false positive discovery. Methods in Ecology and Evolution, 9(6):1421-1434.

https://doi.org/10.1111/2041-210X.13000

Examples

data(iris)
MVSF.iris <- MVSF.test(iris$Species,iris[,1:4])
print(MVSF.iris)
plot(MVSF.iris)

pmartinezarbizu/RFtools documentation built on March 10, 2021, 12:11 p.m.