Use Gaussian Mixture Models to cluster selected variables

Use Gaussian Mixture Models to cluster selected variables

Usage

cluster_selected_vars(df, vars = NULL)

Arguments

df

A data frame containing the variables to be clustered, usually study_data.

vars

A character vector of variable names to be clustered. If NULL, a default set of variables is used:

• visual_imagery

• sensory_imagery

• spatial_imagery

• verbal_strategies

• fluid_intelligence

• verbal_reasoning

• span_spatial

Value

A fitted Mclust object containing the clustering results.

Examples

clustering <- cluster_selected_vars(study_data)
clustering
#> 'Mclust' model object: (EVE,3) 
#> 
#> Available components: 
#>  [1] "call"           "data"           "modelName"      "n"             
#>  [5] "d"              "G"              "BIC"            "loglik"        
#>  [9] "df"             "bic"            "icl"            "hypvol"        
#> [13] "parameters"     "z"              "classification" "uncertainty"   

if (requireNamespace("dplyr")) {
  data.frame(cluster = clustering$classification) |>
    dplyr::reframe(n = dplyr::n(), .by = cluster)
}
#>   cluster  n
#> 1       2 34
#> 2       1 30
#> 3       3 32