euc.dist: The Euclidean distance between two vectors, matrices, or data...

In nnspat: Nearest Neighbor Methods for Spatial Patterns

The Euclidean 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 equivalent to Dist function in the pcds package but 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 he distance matrix computed by using the specified distance measure to compute the distances between the rows of a data matrix (\insertCiteS-Book:1998;textualnnspat), while euc.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 euc.dist(A,B) yield the same result.

Usage

euc.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

\insertAllCited

See Also

dist from the base package stats and Dist from the package pcds

Examples

B<-c(1,0); C<-c(1/2,sqrt(3)/2);
euc.dist(B,C);
euc.dist(B,B);

x<-runif(10)
y<-runif(10)
euc.dist(x,y)

xm<-matrix(x,ncol=2)
ym<-matrix(y,ncol=2)
euc.dist(xm,ym)

euc.dist(xm,xm)

dat.fr<-data.frame(b=B,c=C)
euc.dist(dat.fr,dat.fr)
euc.dist(dat.fr,cbind(B,C))

nnspat documentation built on May 29, 2024, 10:03 a.m.