Dissimilarity Matrix Dialog Function

DESCRIPTION:

This function is called by the Dissimilarity Matrix dialog.

USAGE:

menuDaisy(data, variables="<ALL>", subset=NULL, na.rm=T, 
        metric="euclidean", stand=F, ordratio.list, logratio.list, asymm.list, 
        x) 

REQUIRED ARGUMENTS:

data
data.frame or data.sheet containing the data to cluster. Each row corresponds to an observation, and each column corresponds to a variable. All variables must be numeric. Missing values (NAs) are allowed.

OPTIONAL ARGUMENTS:

variables
variables to cluster. All variables must be numeric.
subset
subsetting expression for rows. AG na.rm logical value indicating whether to omit rows with missing values.
metric
character string specifying the metric to be used for calculating dissimilarities between objects. The currently available options are "euclidean" and "manhattan". Euclidean distances are root sum-of-squares of differences, and manhattan distances are the sum of absolute differences. If x is already a dissimilarity matrix, then this argument will be ignored.
stand
logical flag: if TRUE, then the measurements in x are standardized before calculating the dissimilarities. Measurements are standardized for each variable (column), by subtracting the variable's mean value and dividing by the variables mean absolute deviation. If x is already a dissimilarity matrix, then this argument will be ignored.
ordratio.list
list of character strings giving column names of ratio scaled variables to be treated as ordinal variables.
logratio.list
list of character strings giving column names of ratio scaled variables that must be logarithmically transformed.
asymm.list
list of character strings giving column names of asymmetric binary variables.
x
deprecated argument.

VALUE:

Invisibly returns an object of class daisy. See dissimilarity.object for details.

SEE ALSO:

, .

EXAMPLES:

menuDaisy(state.x77)