pcds (version 0.1.8)

Dist: 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 (S-Book:1998;textualpcds), 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)

Value

Euclidean distance between x and y

Arguments

x, y

Vectors, matrices or data frames (both should be of the same type).

Author

Elvan Ceyhan

References

See Also

dist from the base package stats

Examples

# \donttest{
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)
# }