plot_scree_adpc_preselected {adproclus} | R Documentation |
Scree plot of a pre-selection of low dimensional ADPROCLUS models
Description
To be used when one has selected a number of components for each number
of clusters. Plots the remaining sets of models to compare SSE or unexplained
variances. The input model_fit
is supposed to be the output from the
select_by_CHull
function applied to the output from
the mselect_adproclus_low_dim
function.
Usage
plot_scree_adpc_preselected(model_fit, title = NULL, digits = 3)
Arguments
model_fit |
Matrix with SSE or unexplained variance values.
Can be obtained from |
title |
String. Optional title. |
digits |
Integer. The number of decimal places to display. |
Value
Returns the ggplot2
object.
Examples
# Loading a test dataset into the global environment
x <- stackloss
# Estimating models with cluster parameter values ranging from 1 to 4
# and component parameter values also ranging from 1 to 4
model_fits <- mselect_adproclus_low_dim(data = x, 1, 4, 1, 4, seed = 1)
# Choosing for each number of cluster the best number of components
model_fits_preselected <- select_by_CHull(model_fits)
# Plot the results as a scree plot to select the appropriate number of clusters
plot_scree_adpc_preselected(model_fits_preselected)
[Package adproclus version 2.0.0 Index]