plot_clust_sc generates from the cluster analysis a dendrogram based on the ggplot2 and ggdendro packages.

plot_clust_sc(x, rotate = FALSE, text_size = 15)

Arguments

x

Output from the cluster analysis (object of class hclust).

rotate

If TRUE, rotates plot by 90 degrees.

text_size

Size of the title and axes labels.

Value

The function returns a ggplot object.

See also

ggplot, dendro_data for the data extraction from the hclust object to produce the dendrogram

Other score-based IND performance functions: clust_sc(), dist_sc_group(), dist_sc(), expect_resp(), plot_spiechart(), scoring(), summary_sc()

Examples

# Using the Baltic Sea demo data scores_tbl <- scoring(trend_tbl = model_trend_ex, mod_tbl = all_results_ex, press_type = press_type_ex) scores_mat <- summary_sc(scores_tbl)$scores_matrix dist_matrix <- dist_sc(scores_mat, method_dist = "euclidean") clust_analysis <- clust_sc(dist_matrix, method_clust = "complete")
#> With the selected agglomeration method (complete), the cophonetic correlation coeffient is 0.842 and the Gower distance is 417.41.
plot_clust_sc(clust_analysis)
# To modify the plot: plot_clust_sc(clust_analysis, rotate = TRUE, text_size = 20) + ggplot2::theme(title = ggplot2::element_text(colour = "blue", size = 10))