plot_shap_force

The function stacks the SHAP values for each observation and shows how the final output was obtained as a sum of each predictor’s attributions through the force plot. (Randomly plotting a certain portion of the data is optional in case the dataset is large.)

Usage

plot_shap_force(
  shap_se,
  top_feature = 10,
  cluster_method = "ward.D",
  group_num = 10
)

Arguments

shap_se

A SummarizedExperiment object with results computed by ml_shap.

top_feature

Integer. Top number of features to be shown. If top_feature is set to greater than 10, only the top 10 samples will be displayed. Default is 10.

cluster_method

Character. The clustering method. Allowed methods include "ward.D", "ward.D2", "single", "complete", "average", "mcquitty", "median", "centroid". Default is 'ward.D'.

group_num

Integer. The numbers of groups to be shown in the plots. Default is 10.

Value

Return 1 interactive plot, 1 static plot, and 1 table.

1. interactive_forcePlot & static_forcePlot: SHAP force plot.

2. table_forcePlot: table for plotting force plot.

Examples

data("ml_se_sub")
shap_se <- ml_shap(ml_se_sub, feature_num=10, nsim=5)
res <- plot_shap_force(shap_se, top_feature=10, cluster_method="ward.D", group_num=10)
#> All the features will be used.