I have two vectors x and y of same length;
x <- c(12,14,14,15,16,18)
y <- c(25,36,32,30,36,42)
and function f
f <- function(a,b) {
sum((y - a - b*x)^2)
}
If a and b are two vectors such that:
a <- seq(from=-5,to=5, by=.1)
b <- seq(from=-2.5, to=7.5, by=.1)
I need to evaluate f for each and every possible pair of a and b so that I could make 3D plot for a, b, and z=f(a,b).
I found outer function but this is not working. Can you please suggest me alternative so that I could achieved desired results?
Thanks
In two separated parts, you can use the plot3D package:
library(plot3D)
(1) compute z = f(a, b) for each a, b
### Compute z = f(a, b)
a <- seq(from=-5,to=5, by=.1)
b <- seq(from=-2.5, to=7.5, by=.1)
X <- c(12,14,14,15,16,18)
Y <- c(25,36,32,30,36,42)
f <- function(a,b) {
sum((Y - a - b*X)^2)
}
m <- expand.grid(a, b)
z <- mapply(f, m$Var1, m$Var2)
(2) Declare a mesh and plot the result upon it:
### Plot3D
M <- mesh(a, b)
x.plot <- M$x
y.plot <- M$y
z.plot <- matrix(z, nrow=nrow(x.plot))
persp3D(x.plot, y.plot, z.plot)
And this generates:

The results have to be double-check though
xy = expand.grid(a, b)
# z = f(xy[,1], xy[,2])
mapply(f, xy$Var1, xy$Var2) # see comment below
The first makes the Cartesian product of a and b:
a = 1:3
b = 4:5
expand.grid(a, b)
# prints (I'm not sure about the row order)
# 1 4
# 1 5
# 2 4
# 2 5
# 3 4
# 3 5
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