| Dist {pcds} | R Documentation |
The distance between two vectors, matrices, or data frames
Description
Returns the Euclidean distance between x and y
which can be vectors
or matrices or data frames of any dimension (x and y
should be of same dimension).
This function is different from the dist function
in the stats package of the standard R distribution.
dist requires its argument to be a data matrix
and dist computes
and returns the distance matrix computed
by using the specified distance measure
to compute the distances between the rows of a data matrix
(Becker et al. (1988)),
while Dist needs two arguments to find the distances between.
For two data matrices A and B,
dist(rbind(as.vector(A), as.vector(B)))
and Dist(A,B) yield the same result.
Usage
Dist(x, y)
Arguments
x, y |
Vectors, matrices or data frames (both should be of the same type). |
Value
Euclidean distance between x and y
Author(s)
Elvan Ceyhan
References
Becker RA, Chambers JM, Wilks AR (1988). The New S Language. Wadsworth & Brooks/Cole.
See Also
dist from the base package stats
Examples
B<-c(1,0); C<-c(1/2,sqrt(3)/2);
Dist(B,C);
dist(rbind(B,C))
x<-runif(10)
y<-runif(10)
Dist(x,y)
xm<-matrix(x,ncol=2)
ym<-matrix(y,ncol=2)
Dist(xm,ym)
dist(rbind(as.vector(xm),as.vector(ym)))
Dist(xm,xm)