View source: R/distancematrix.R
DistanceMatrix | R Documentation |
DistanceMatrix
Compute a distance (dissimilarity) or similarity matrix between variables or cases.
DistanceMatrix(
input.data,
compare = "Variables",
case.labels = NULL,
variable.names = FALSE,
binary = FALSE,
measure = "Dissimilarities",
similarity.measure = "Correlation",
distance.measure = "Euclidian",
minkowski = 2,
standardization = "None",
standardize.by = "Case",
measure.transformation = "None",
show.cell.values = "Automatic",
show.row.labels = "Yes",
show.column.labels = "Yes",
subset = NULL,
weights = NULL
)
input.data |
A |
compare |
Whether |
case.labels |
If |
variable.names |
Whether to display variable names or labels. |
binary |
Whether to convert categorical variables to binary. |
measure |
Whether to measure |
similarity.measure |
How to calculate similarities. Options are |
distance.measure |
The method for mesuring distances. Options are |
minkowski |
The power used by |
standardization |
The method used to standardize the data. Options are |
standardize.by |
Whether to perform |
measure.transformation |
How to transform the measure. Options are |
show.cell.values |
Whether to show cell values on heatmap output. Choices are
|
show.row.labels |
|
show.column.labels |
|
subset |
An optional vector specifying a subset of cases to be used. |
weights |
An optional vector of sampling weights. |
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