ERPExplorer.create_plot! — Method- plots is a spec-api list to push into
- data is the dataframe to be subsetted
- vars contains the levels to be plotted
ERPExplorer.formular_widgets — Methodformular_widgets(model_variables)Creates widgets to control each variable of a model. Return values:
widget_signal: a signal that emits a dictionary with the current values of the widgets.formular_widget: The HTML element that can be displayed to interact with the the widgetsvalue_ranges: A dictionary with the value ranges of each variable.
ERPExplorer.plot_data — Methodplot_data(data, value_ranges, categorical_vars, continuous_vars, mapping_obs)
+API / DocStrings · ERPExplorer.jl ERPExplorer.create_plot! — Method- plots is a spec-api list to push into
- data is the dataframe to be subsetted
- vars contains the levels to be plotted
sourceERPExplorer.formular_widgets — Methodformular_widgets(model_variables)
Creates widgets to control each variable of a model. Return values:
widget_signal: a signal that emits a dictionary with the current values of the widgets.formular_widget: The HTML element that can be displayed to interact with the the widgetsvalue_ranges: A dictionary with the value ranges of each variable.
sourceERPExplorer.plot_data — Methodplot_data(data, value_ranges, categorical_vars, continuous_vars, mapping_obs)
- `data`: effects(Dict(...), m)
- `value_ranges`:
- `categorical_vars`:
- `continuous_vars`:
-- `mapping`: Dict name=>property
output ::DataFrames
sourceInternally, we use a PlotConfig struct to keep track of common plotting options, so that all functions have a similar API.
Settings
This document was generated with Documenter.jl version 1.8.0 on Friday 20 December 2024. Using Julia version 1.11.2.
output ::DataFrames
Internally, we use a PlotConfig struct to keep track of common plotting options, so that all functions have a similar API.