plot_shap_sample

Source: R/ml_shap.R

This function plots the SHAP feature importance results of user-selected sample.

plot_shap_sample(shap_se, sample_id = 10)

Arguments

shap_se

A SummarizedExperiment object with results computed by ml_shap.

sample_id

Numeric. The number of samples to display for each feature. Default is 10.

Value

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

  1. interactive_sample_feature_importance & static_sample_feature_importance: SHAP feature importance plot.

  2. table_sample_feature_importance: table for plotting SHAP feature importance.

Examples

data("ml_se_sub")
shap_se <- ml_shap(ml_se_sub, feature_num=10, nsim=5)
sample_id_list <- unique(S4Vectors::metadata(shap_se)$shap_result$ID)
res <- plot_shap_sample(shap_se, sample_id=sample_id_list[10])