Barplot of Shapley value decomposition into contributions of (Centers, Ranges, and CrossCentersRanges) for interval-valued data.

Usage

plot_bar_int_Shapley_decomp(
  shapley_decomp,
  palette = NULL,
  rotate_x = TRUE,
  abbrev.obs = 20,
  sort.obs = TRUE,
  plot_IMah = FALSE
)

Arguments

shapley_decomp: A list of matrices containing the Shapley value decomposition into contributions of (Centers, Ranges, and CrossCentersRanges) for each observation.
palette: A vector with colors for each feature. If palette is NULL (default), the colors are generated using RColorBrewer.
rotate_x: Logical. If TRUE (default), the x-axis labels are rotated.
abbrev.obs: Integer. If abbrev.obs \(> 0\), row names are abbreviated using abbreviate with minlenght = abbrev.obs.
sort.obs: Logical. If TRUE (default), observations are sorted according to their total Shapley value.
plot_IMah: Logical. If TRUE, the Interval-Mahalanobis distance (sum of all Shapley values) will be included in the plot.

Value

Returns a barplot that displays the Shapley value decomposition into contributions of (Centers, Ranges, and CrossCentersRanges) for each observation.

Examples

# Create intData object
data(creditcard)
credit_card_int <- creditcard$intData

# Compute Shapley decomposition into contributions of Centers, Ranges, and CrossCentersRanges
# based on IMCD estimates of mean and covariance matrix
credit_card_shap_decomp <- int_Shapley_decomp(credit_card_int)

# Plot Shapley decomposition with contributions of Centers, Ranges, and CrossCentersRanges
plot_bar_int_Shapley_decomp(credit_card_shap_decomp, palette = rainbow(credit_card_int@NIVar))