getClusterAnalysis: Computes the components and plots for the Cluster Analysis

Description Usage Arguments Value

Description

getClusterAnalysis computes the cluster analysis of numeric data

Usage

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getClusterAnalysis(data, num.features, method, par.vals, random.seed,
  scale.num.data, cluster.cols)

Arguments

data

[data.frame]
A Dataframe with different variables.

num.features

[character(length(numeric.features))]
A character vector with length of the number of
numeric features in the dataset.
This will be computed automatically when calling this function.

method

[character(1L)]
Method used for clustering

par.vals

[list()]
Other arguments to be passed to selected method

random.seed

[integer(1L)]
Random seed for clustering method

scale.num.data

[logical(1L)]
Logical whether or not so scale numeric data
for cluster analysis

cluster.cols

[character()]
Selected columns in a named character vector to apply cluster analysis

Value

[list()] A list containing the cluster analysis and plot-code


ptl93/AEDA documentation built on May 7, 2019, 3:20 p.m.