Density plot of co-clustering stability across subsampled data

This function creates a density plot that shows, for all pairs of observations that originally clustered together, the distribution of the the fractions that those pairs clustered together across subsampled data.

Usage

cocluster_density(cocluster_df)

Arguments

cocluster_df

A data frame containing co-clustering data for a single cluster solution. This object is generated by the calculate_coclustering function.

Value

Density plot (class "gg", "ggplot") of the distribution of co-clustering across pairs and subsamples of the data.

Examples

# \donttest{
my_dl <- data_list(
    list(subc_v, "subcortical_volume", "neuroimaging", "continuous"),
    list(income, "household_income", "demographics", "continuous"),
    list(pubertal, "pubertal_status", "demographics", "continuous"),
    uid = "unique_id"
)
#> ℹ 175 observations dropped due to incomplete data.

sc <- snf_config(my_dl, n_solutions = 5, max_k = 40)
#> ℹ No distance functions specified. Using defaults.
#> ℹ No clustering functions specified. Using defaults.

sol_df <- batch_snf(my_dl, sc)

my_dl_subsamples <- subsample_dl(
    my_dl,
    n_subsamples = 20,
    subsample_fraction = 0.85
)

batch_subsample_results <- batch_snf_subsamples(
    my_dl_subsamples,
    sc
)

coclustering_results <- calculate_coclustering(
    batch_subsample_results,
    sol_df,
    verbose = TRUE
)
#> Processing solution 1/5
#> Processing solution 2/5
#> Processing solution 3/5
#> Processing solution 4/5
#> Processing solution 5/5

cocluster_dfs <- coclustering_results$"cocluster_dfs"

cocluster_density(cocluster_dfs[[1]])

# }