maximum.dist | R Documentation |
This function computes the Maximum distance (or L^Inf norm) between units in a dataset or between observations in two distinct datasets.
maximum.dist(data.x, data.y=data.x, rank=FALSE)
data.x |
A matrix or a data frame containing variables that should be used in the computation of the distance. Only continuous variables are allowed. Missing values ( When only |
data.y |
A numeric matrix or data frame with the same variables, of the same type, as those in |
rank |
Logical, when |
This function computes the L^Inf distance also know as minimax distance. In practice the distance between two records is the maximum of the absolute differences on the available variables:
d(i,j) =max(|x_1i-x_1j|,|x_2i-x_2j|,...,|x_Ki-x_Kj|)
When rank=TRUE
the original values are substituted by their ranks divided by the number of values plus one (following suggestion in Kovar et al. 1988).
A matrix
object with distances between rows of data.x
and those of data.y
.
Marcello D'Orazio mdo.statmatch@gmail.com
Kovar, J.G., MacMillan, J. and Whitridge, P. (1988). “Overview and strategy for the Generalized Edit and Imputation System”. Statistics Canada, Methodology Branch Working Paper No. BSMD 88-007 E/F.
rank
,
md1 <- maximum.dist(iris[1:10,1:4]) md2 <- maximum.dist(iris[1:10,1:4], rank=TRUE) md3 <- maximum.dist(data.x=iris[1:50,1:4], data.y=iris[51:100,1:4]) md4 <- maximum.dist(data.x=iris[1:50,1:4], data.y=iris[51:100,1:4], rank=TRUE)
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