Partial builders for logistic regression plots

Usage

build_datastrip_jitter(
  data,
  config,
  stratify,
  exposure,
  response,
  strata,
  style
)

build_group_boxplot(data, config, stratify, exposure, response, strata, style)

build_group_violin(data, config, stratify, exposure, response, strata, style)

build_model_ribbonline(
  data,
  config,
  stratify,
  exposure,
  response,
  strata,
  style
)

build_model_spaghetti(
  data,
  config,
  stratify,
  exposure,
  response,
  strata,
  style
)

build_quantile_errorbar(
  data,
  config,
  stratify,
  exposure,
  response,
  strata,
  style
)

build_summary_pvalue(data, config, stratify, exposure, response, strata, style)

Arguments

data: The original data frame
config: Configuration for the specific plot
stratify: Logical indicating whether to stratify
exposure: Exposure variable
response: Response variable
strata: Stratification variable
style: Style components

Value

A geom, or a list of geoms. More precisely, a list of objects that can be added to a ggplot2 plot. The expectation is that these objects will be added to a partially-constructed plot which, at a minimum, already has the base theme applied. For "model", "summary", and "quantile", the pieces will be added to a plot that already has a coord that sets the axis limits. For the "datastrip" and "group" plots, the plot object does not yet have a coord. The expectation, however, is that the builder will supply an x-axis limit that is consistent with the base plot. That is, since all component plots use the exposure variable for the x-axis, they should use the values stored in exposure$limits tp set the x-axis limits.

Details

Things we can have partials for:

model
summary
quantile
datastrip
group

Arguments are standardised to allow users to write their own as needed