Reputation: 639
I have this data:
wine <-read.table("http://archive.ics.uci.edu/ml/machine-learning-databases/wine/wine.data",sep=",")
attach(wine)
and I am trying to prompt a 3D plot of the variables V2, V3 and V4 with the persp()
function
I get this error:
Error in persp.default(v2, v3, v4) :
increasing 'x' and 'y' values expected
Although I already sorted each variable with the sort()
function.
How should I proceed?
Upvotes: 2
Views: 13034
Reputation: 23109
As per Zheyuan's reply, persp is not the rigth choice for scatterplot in 3d, you can use rgl instead with your wine data:
library(rgl)
plot3d(wine$V1, wine$V2, wine$V3, type='s', size=2, col=wine$V1)
Upvotes: 4
Reputation: 73385
This is some conceptual mistake. persp
is used for surface plot, but your data only support scatter plot.
For a surface plot, we need the surface values on a grid expanded by x
, y
. In other words, we are plotting a 2D function f(x, y)
on a grid: expand.grid(x = sort(x), y = sort(y))
. We need to know this function f
and (in almost all situation) use outer
to evaluate it on such grid. Consider this example:
x <- seq(-10, 10, length = 30) ## already in increasing order
y <- x ## already in increasing order
f <- function(x, y) {r <- sqrt(x ^ 2 + y ^ 2); 10 * sin(r) / r}
z <- outer(x, y, f) ## evaluation on grid; obtain a matrix `z`
persp(x, y, z)
Scatter plot on the other hand, is only restricted to (x, y)
:
library(scatterplot3d)
scatterplot3d(V2, V3, V4) ## your `wine` data
Upvotes: 2