process_axis_label: Process axis labels

In OxWearables/epicoda: Supports epidemiological analyses using compositional exposure variables

Process axis labels

Description

Process axis labels

Usage

process_axis_label(label, terms, type)

Arguments

label	This is the axis label that already exists. To suppress the label entirely, set label == "suppressed".
terms	Are estimates for differences in outcome associated with differences in compositional variables? If terms = TRUE all estimates and plots will be for difference in outcome associated with differences in the compositional variables. If terms = FALSE, fixed_values is used to set the values of the non-compositional covariates, and outputs are predictions for the outcome based on these values of the non-compositional covariates and the given value of the compositional variables (and confidence intervals include uncertainty due to all variables in the model, not just the compositional variables). Note that for logistic regression models with terms = TRUE estimates are odds ratios; for logistic regression models with terms = FALSE estimates are probabilities (i.e. predictions on the response scale).
type	Output from process_model_type

OxWearables/epicoda documentation built on Dec. 7, 2022, 9:07 p.m.