useR's,
Consider the variables defined below:
yvals <- c(25,30,35)
x1 <- c(1,2,3)
x2 <- c(3,4,5)
x3 <- c(6,7,8)
x <- as.data.frame(cbind(x1,x2,x3))
delta <- c(2.5, 1.5, 0.5)
h <- delta/2
vars <- 3
xk1 <- seq(min(x1)-0.5, max(x1)+0.5, 0.5)
xk2 <- seq(min(x2)-0.5, max(x2)+0.5, 0.5)
xk3 <- seq(min(x3)-0.5, max(x3)+0.5, 0.5)
xks <- list(xk1,xk2,xk3)
xk <- do.call("expand.grid", xks)
I want to perform several calculations with these variables. For only two
variables, my code is successful, however, here there are three variables
(x1,x2,x3) and there could really be n variables (x1,...xn) if need be.
Below is code that works for two variables, I want to convert it to work for
any number of variables. Any ideas?
yk <- numeric(nrow(xk))
for (j in 1:nrow(xk)) {
w1 <- abs(x[,1] - xk$x1[j])
w2 <- abs(x[,2] - xk$x2[j])
Ik1 <- which(w1 <= h[1])
Ik2 <- which(w2 <= h[2])
Ik <- intersect(Ik1, Ik2)
YIk <- yvals[Ik]
yk[j] <- mean(YIk)
}
The result is the one-dimensional vector yk. Does anyone know how to extend
this code to cover any number of variables? Thanks in advance.
dxc13
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