Description Usage Arguments Value Author(s) See Also Examples

View source: R/NNCTFunctions.r

Returns the Euclidean interpoint distance (IPD) matrix of a given the set of points `x`

and `y`

using
two for loops with the `euc.dist`

function of the current package.
If `y`

is provided (default=`NULL`

) it yields a matrix of Euclidean distances between the rows of `x`

and rows of `y`

,
otherwise it provides a square matrix with i,j-th entry being the Euclidean distance between row *i* and row *j*
of `x`

. This function is different from the `ipd.mat`

function in this package.
`ipd.mat`

returns the full distance matrix for a variety of distance metrics (including the
Euclidean metric), while `ipd.mat.euc`

uses the Euclidean distance metric only.
`ipd.mat.euc(X)`

and `ipd.mat(X)`

yield the same output for a set of points `X`

,
as the default metric in `ipd.mat`

is also `"euclidean"`

.

1 | ```
ipd.mat.euc(x, y = NULL)
``` |

`x` |
A set of points in matrix or data frame form where points correspond to the rows. |

`y` |
A set of points in matrix or data frame form where points correspond to the rows (default= |

A distance matrix whose i,j-th entry is the Euclidean distance between row *i* of `x`

and
row *j* of `y`

if `y`

is provided, otherwise i,j-th entry is
the Euclidean distance between rows *i* and *j* of `x`

.

Elvan Ceyhan

`dist`

, `ipd.mat.euc`

, `dist.std.data`

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | ```
#3D data points
n<-3
X<-matrix(runif(3*n),ncol=3)
ipd.mat.euc(X)
n<-5
Y<-matrix(runif(3*n),ncol=3)
ipd.mat.euc(X,Y)
ipd.mat.euc(X[1,],Y)
ipd.mat.euc(c(.1,.2,.3),Y)
ipd.mat.euc(X[1,],Y[3,])
#1D data points
X<-as.matrix(runif(3)) # need to be entered as a matrix with one column
#(i.e., a column vector), hence X<-runif(3) would not work
ipd.mat.euc(X)
Y<-as.matrix(runif(5))
ipd.mat.euc(X,Y)
ipd.mat.euc(X[1,],Y)
ipd.mat.euc(X[1,],Y[3,])
``` |

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