amesHousing2018 |
Ames housing data 2018 |
amesHousing2018_NorthAmes |
Ames housing data 2018 |
amesHousing2018_raw |
Ames housing data 2018 |
ames_rf_pred |
Ames random forest model predictions and shap values |
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 |
Chocolate svm model predictions and shap values |
chocolates_svm_shap |
Chocolate svm model predictions and shap values |
color_scale_of |
Suggest a color and fill scale. |
colour_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 |
Penguins xgb model predictions and shap values |
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 |