| MAplot {DataVisualizations} | R Documentation |
Bland-Altman plot [Altman/Bland, 1983].
MAplot(x,y,islog=TRUE,densityplot=FALSE, main='MA-plot',xlab,ylab,Cls)
x |
[1:n] numerical vector of a feature/variable |
y |
[1:n] another numerical vector of a feature/variable |
islog |
TRUE: MAplot, FALSE: M=x-y versus a=0.5(x+y) |
densityplot |
FALSE: Scatterplot, TRUE: density scatter plot with PDE |
main |
see |
xlab |
see |
ylab |
see |
Cls |
prior Classification as a numeric vector. |
Bland-Altman plot [Altman/Bland, 1983] for visual representation of genomic data or in order to decorrelate data.
MA |
[1:n,2] Matrix of Minus component of two features and Add component of two features |
ggplot |
see |
Michael Thrun
[Altman/Bland, 1983] Altman D.G., Bland J.M.: Measurement in medicine: the analysis of method comparison studies, The Statistician, Vol. 32, p. 307-317, doi:10.2307/2987937, 1983.
[Ultsch, 2005] Ultsch, A.: Pareto Density Estimation: A Density Estimation for Knowledge Discovery, Baier D., Wernecke K.D. (Eds), In Innovations in Classification, Data Science, and Information Systems - Proceedings 27th Annual Conference of the German Classification Society (GfKL) 2003, Berlin, Heidelberg, Springer, pp, 91-100, 2005.
#taken from [Thrun/Ultsch, 2018]
data("ITS")
data("MTY")
MAlist=MAplot(ITS,MTY)