Package index • DImodelsVis

All functions

prop_to_tern_proj() tern_to_prop_proj(): Project 3-d compositional data onto x-y plane and vice versa

add_ID_terms(): Add identity effect groups used in a Diversity-Interactions (DI) model to new data

add_add_var(): Add additional variables to the data

add_interaction_terms(): Add interaction terms used in a Diversity-Interactions (DI) model to new data

add_prediction(): Add predictions and confidence interval to data using either a model object or model coefficients

conditional_ternary(): Conditional ternary diagrams

conditional_ternary_data(): Conditional ternary diagrams

conditional_ternary_plot(): Conditional ternary diagrams

copy_attributes(): Copy attributes from one object to another

custom_filter(): Special custom filtering for compositional data

get_colours(): Return colour-blind friendly colours

get_equi_comms(): Get all equi-proportional communities at specific levels of richness

get_shades(): Returns shades of colours

gradient_change(): Visualise change in (predicted) response over diversity gradient

gradient_change_data(): Calculate change in predicted response over diversity gradient

gradient_change_plot(): Visualise change in (predicted) response over diversity gradient

group_prop(): Combine variable proportions into groups

grouped_ternary(): Conditional ternary diagrams at functional group level

grouped_ternary_data(): Grouped ternary diagrams

grouped_ternary_plot(): Conditional ternary diagrams at functional group level

model_diagnostics(): Regression diagnostics plots with pie-glyphs

model_diagnostics_data(): Data preparation for regression diagnostics plots with pie-glyphs

model_diagnostics_plot(): Regression diagnostics plots with pie-glyphs

model_selection(): Visualising model selection

model_selection_data(): Prepare data for visualising model selection

model_selection_plot(): Visualise model selection

prediction_contributions(): Model term contributions to predicted response

prediction_contributions_data(): Model term contributions to predicted response

prediction_contributions_plot(): Visualise model term contributions to predicted response

simplex_path(): Visualising the change in a response variable between two points in the simplex space

simplex_path_data(): Creating data for visualising the change in a response variable between two points in the simplex space

simplex_path_plot(): Visualising the change in a response variable between two points in the simplex space

ternary_data(): Prepare data for showing contours in ternary diagrams.

ternary_plot(): Ternary diagrams

theme_DI(): Default theme for DImodelsVis

visualise_effects(): Effects plot for compositional data

visualise_effects_data(): Prepare data for effects plots for compositional data

visualise_effects_plot(): Effects plot for compositional data