What the most efficient way in the programming language R to calculate the angle between two vectors?
To find the angle between two vectors a and b, we can use the dot product formula: a · b = |a| |b| cos θ. If we solve this for θ, we get θ = cos-1 [ (a · b) / (|a| |b|) ].
In any circle of radius r, the ratio of the arc length ℓ to the circumference equals the ratio of the angle θ subtended by the arc at the centre and the angle in one revolution. Thus, measuring the angles in radians, ℓ2πr=θ2π⟹ ℓ=rθ.
So we can compute the angle θ between u and v using the dot product: θ = arccos ( u · v u v ) . u · v = u vcos(0) = u v > 0. , so u · v = u vcos(π/2) = 0.
According to page 5 of this PDF, sum(a*b)
is the R command to find the dot product of vectors a
and b
, and sqrt(sum(a * a))
is the R command to find the norm of vector a
, and acos(x)
is the R command for the arc-cosine. It follows that the R code to calculate the angle between the two vectors is
theta <- acos( sum(a*b) / ( sqrt(sum(a * a)) * sqrt(sum(b * b)) ) )
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