Nothing
print.mcca.ccp=function(x,...){
cat("\nCall:\n", paste(deparse(x$call), sep = "\n", collapse = "\n"),
"\n\n", sep = "")
cat("Overall Correct Classification Probability:\n",x$measure,"\n\n")
cat("Category-specific Correct Classification Probability:\n")
print(x$table)
}
print.mcca.pdi=function(x,...){
cat("\nCall:\n", paste(deparse(x$call), sep = "\n", collapse = "\n"),
"\n\n", sep = "")
cat("Overall Polytomous Discrimination Index:\n",x$measure,"\n\n")
cat("Category-specific Polytomous Discrimination Index:\n")
print(x$table)
}
print.mcca.rsq=function(x,...){
cat("\nCall:\n", paste(deparse(x$call), sep = "\n", collapse = "\n"),
"\n\n", sep = "")
cat("Overall R-squared value:\n",x$measure,"\n\n")
cat("Category-specific R-squared value:\n")
print(x$table)
}
print.mcca.hum=function(x,...){
cat("\nCall:\n", paste(deparse(x$call), sep = "\n", collapse = "\n"),
"\n\n", sep = "")
cat("Overall HUM value:\n",x$measure,"\n\n")
}
plot.mcca.hum=function(x,labs=levels(x$y),coords=1:3,nticks=5,filename='fig.png',cex=0.7,...){
n=100
y_raw=x$y
y=as.numeric(y_raw)
#true positive rate for three classes
tpP<-function(c1,c2,x) sum(x[,1]>c1 & y==1)/sum(y==1)
tpN<-function(c1,c2,x) sum(!(x[,1]>c1) & x[,2]>c2 & y==2)/sum(y==2)
#tpN<-function(c1,c2,x) sum(x[,2]>c2 & y==2)/sum(y==2)
tpZ<-function(c1,c2,x) sum(!(x[,2]>c2) &! (x[,1]>c1) & y==3)/sum(y==3)
#The outer product
qP0<-seq(0,1,length.out=n)
qN0<-seq(0,1,length.out=n)
X<-outer(qP0,qN0,Vectorize(tpP,vectorize.args=c("c1","c2")),x$pm)
Y<-outer(qP0,qN0,Vectorize(tpN,vectorize.args=c("c1","c2")),x$pm)
Z<-outer(qP0,qN0,Vectorize(tpZ,vectorize.args=c("c1","c2")),x$pm)
X=1-X
Z=1-Z
#visulization
rgl::rgl.surface(X,Z,Y,coords = coords,color=rainbow(10)[cut(Z, breaks = 10)],
back = "fill",front = "fill")
rgl::rgl.bbox(xlen=0, ylen=0, zlen=0)
rgl::axes3d(c('x','y','z'),color='white',nticks=nticks,family = "serif",cex = cex)
rgl::title3d('','',labs[coords][1],labs[coords][2],labs[coords][3],color='white',
family = "serif",cex = cex)
rgl::view3d( theta = 210, phi = 10)
rgl::snapshot3d(filename, fmt = "png", top = TRUE)
#rgl.viewpoint( theta = 1, phi = 15, fov = 60, zoom = 0, interactive = TRUE )
#axes <- rbind(c(0.5, 0, 0), c(0, 0.5, 0),
# c(0, 0, 0.5))
#rgl::rgl.texts(axes, text = levels(y_raw)[coords], color = "white",
# adj = c(-1, 0), size = 4)
}
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