One of the possible packages for interactive 3D plots is rgl. What I would like to do is to build 3D scatterplot with color coding according to some factor variable. The 3D dimensional scatterplot is for resulting loadings from plsr analysis.
The resulting plot looks like
The example data is given in a table:
> loadings
| Comp 1 | Comp 2 | Comp 3 | Class
-------------------------------------------------------------------------------------------
TEMP | -0.0607044182964255 | "0.0437618450165671" |"0.045124991801441" | "global"
MW | "-0.13414890573833" | "-0.0970537799069731" |0.263043734662182" | "local"
DM |"-0.183751529577861" | "-0.102703237685933" |"0.0640549385564205" | "global"
CHG |"-0.0558781715833019"| "0.125155347350922" |"-0.119258450107321" | "local"
or can be generated:
loadings <- data.frame(Comp1 = c(1.2, 3.4, 5.6, 13.1), Comp2 = c(4.3, 1.2, 7.7, 9.8),
Comp3 = c(1.2,6.9,15.6,15.0),
row.names = c("TEMP", "MW", "DM", "CHG"),
Class = c("global", "local", "global", "local"))
scatter3d(x=loadings[[1]], y=loadings[[2]], z=loadings[[3]],
point.col = as.numeric(as.factor(loadings[,4])), size = 10)
Obtained plot has the same style, but is much simpler as there are only two levels of variable "Class": 'global' and 'local'
Question is: Is it any possibility to add legend within rgl or maybe some independent legend can be attached to the plot? Thanks in advance for help!
Answer is:
scatter3d(x=loadings[[1]], y=loadings[[2]], z=loadings[[3]],
point.col = as.numeric(as.factor(loadings[,4])), size = 10, type = 's')
text3d(x=1.1, y=c(.9,1), z=1.1,levels(loadings[[4]]),col="black")
points3d(x=1.2,y=c(.9,1),z=1.1, col=as.numeric(as.factor(loadings[,4])), size=5)
The plot with labels according to classes:
