I am trying to find the dot product of two matrices in R. In the q matrix, which must be transposed, I have three different q values that I randomly generated earlier, and in the z matrix three randomly generated z values that serve as coordinates of a random point i. I have:
z0= NULL
for (i in 1:100){
z0[i]= 1
}
z1= runif(100, min=0, max= 20)
z2= runif(100, min=0, max=20)
q0= runif(1, 0, 1)
q1= runif(1, 0, 1)
q2= runif(1, 0, 1)
i= runif(1, 1, 101)
i= ceiling(i-1)
q= matrix(c(q0,q1,q2), ncol=3)
z= matrix(c(z0[i],z1[i],z2[i]), ncol=3)
s[i]= t(q)*z
However, when I try to calculate s[i], I get Error in t(q) * z : non-conformable arrays. I am not sure why this would be as I they seem to both have the same length.
This is my first time using R so I am not really sure what is going on.
Thanks!
4 Answers
Without using matrices or any special libraries:
The dot product of two vectors can be calulated by multiplying them element-wise with * then summing the result.
a <- c(1,2,3)
b <- c(4,5,6)
sum(a*b)
As Pascal says, dot product in R is %*%. I am able to use this successfully on your sample data:
> z0= NULL
> for (i in 1:100){
+ z0[i]= 1
+ }
> z1= runif(100, min=0, max= 20)
> z2= runif(100, min=0, max=20)
> q0= runif(1, 0, 1)
> q1= runif(1, 0, 1)
> q2= runif(1, 0, 1)
> i= runif(1, 1, 101)
> i= ceiling(i-1)
> q= matrix(c(q0,q1,q2), ncol=3)
> z= matrix(c(z0[i],z1[i],z2[i]), ncol=3)
> t(q)%*%z
[,1] [,2] [,3]
[1,] 0.3597998 3.227388 2.960053
[2,] 0.3544622 3.179510 2.916141
[3,] 0.3550781 3.185035 2.921208
> z%*%t(q)
[,1]
[1,] 4.340265
Sample Answer:
library(geometry)
dot(A,B)
Since it seems like others have tackled your issue, I'll just add on to say that if you want a special dot product function, you can write one yourself:
dot <- function(x, y){ # x and y can be vectors or matrices
result <- t(x)%*%y # %*% is the matrix multiplication operator
print(result) # t(x) denotes the transpose of x
}
Or, as @user3503711 says in his answer, you can just use the dot() function from the geometry library.
