Function reference • cheem

All functions

amesHousing2018 amesHousing2018_raw amesHousing2018_NorthAmes: Ames housing data 2018

ames_rf_pred ames_rf_shap: Ames random forest model predictions and shap values

as_logical_index(): Assure a full length logical index

cheem_ls(): Preprocessing for use in shiny app

chocolates: Chocolates dataset

chocolates_svm_pred chocolates_svm_shap: Chocolate svm model predictions and shap values

color_scale_of(): Suggest a color and fill scale.

contains_nonnumeric(): Check if a vector contains non-numeric character

devMessage(): Development message

global_view(): Linked plotly display, global view of data and attribution space.

global_view_df_1layer(): Create the plot data.frame for the global linked plotly display.

global_view_legwork(): The legwork behind the scenes for the global view

ifDev(): Evaluate if development

is_discrete(): Check if a vector is discrete

is_diverging(): Check if a vector diverges a value

linear_tform(): Linear function to help set alpha opacity

logistic_tform(): Logistic function to help set alpha opacity

model_performance(): Extract higher level model performance statistics

penguin_xgb_pred penguin_xgb_shap: Penguins xgb model predictions and shap values

problem_type(): The type of model for a given Y variable

proto_basis1d_distribution(): Adds the distribution of the row local attributions to a ggtour

radial_cheem_tour(): Cheem tour; 1D manual tour on the selected attribution

rnorm_from(): Draw new samples from the supplied data given its mean and covariances.

run_app(): Runs a shiny app demonstrating manual tours

subset_cheem(): Subset a cheem list

sug_basis(): Suggest a 1D Basis

sug_manip_var(): Suggest a manipulation variable