Description Usage Arguments Value Author(s) See Also Examples

This function computes and returns the distance matrix computed by using the specified distance measure
to compute the distances between the rows of a data matrix which is standardized row or column-wise.
That is, the output is the interpoint distance (IPD) matrix of the rows of the given set of points `x`

`dist`

function in the `stats`

package of the standard R distribution.
The argument column is the logical argument (default=`TRUE`

) to determine row-wise or column-wise standardization.
If `TRUE`

each column is divided by its standard deviation, else each row is divided by its standard deviation.
This function is different from the `dist`

function in the `stats`

package.
`dist`

returns the distance matrix in a lower triangular form, and dist.std.data returns in a full matrix
of distances of standardized data set.
... are for further arguments, such as `method`

and `p`

, passed to the `dist`

function.

1 | ```
dist.std.data(x, column = TRUE, ...)
``` |

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

`column` |
A logical argument (default is |

`...` |
Additional parameters to be passed on the |

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

, which is
standardized row-wise or column-wise.

Elvan Ceyhan

`dist`

, `ipd.mat`

, and `ipd.mat.euc`

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | ```
n<-20 #or try sample(1:20,1)
Y<-matrix(runif(3*n),ncol=3)
ipd<-ipd.mat(Y)
range(ipd)
ipd2<-dist.std.data(Y) #distance of standardized data
range(ipd2)
ipd2<-dist.std.data(Y,method="max") #distance of standardized data
range(ipd2)
#############
Y<-matrix(runif(60,0,100),ncol=3)
ipd<-ipd.mat(Y)
range(ipd)
ipd2<-dist.std.data(Y) #distance of standardized data
range(ipd2)
``` |

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