I have a dataset forwhich i have performed an mds and visualized the results using scatterplot3d library. However i would like to see the names of the points on the 3d plot. How do i accomplish that? Each column belongs to a certain group i would like to see which points belong to which groups on the 3dplot.
#generate a distance matrix of the data d <- dist(data) #perform the MDS on 3 dimensions and include a Goodness-of-fit (GOF) fit.mds <- cmdscale(d,eig=TRUE, k=3) # k is the number of dimensions; 3 in this case #Assign names x,y,z to the result vectors (dimension numbers) x <- fit.mds$points[,1] y <- fit.mds$points[,2] z <- fit.mds$points[,3] plot3d <- scatterplot3d(x,y,z,highlight.3d=TRUE,xlab="",ylab="",pch=16,main="Multidimensional Scaling 3-D Plot",col.axis="blue")