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 binary. A limited number of missing
values (NAs) is allowed. Every observation must have at least one
value different from NA. No variable should have half of its values
missing. There must be at least one variable which has no missing
values. A variable with all its non-missing values identical, is not
allowed.
OPTIONAL ARGUMENTS:
variables
variables to cluster. All variables must be binary.
subset
subsetting expression for rows.
AG na.rm
logical value indicating whether to omit rows with missing values.
print.type
character string "None", "Short", or "Long" indicating whether to display no
printed output, the print method, or the summary method for the model.
plot.p
logical flag indicating whether to plot the banner plot for the model.
x
deprecated argument.
VALUE:
object of class
mona. See
mona.object for details.