eta_vs_contcov: Eta continuous covariate plots (typical)

In xpose.xtras: Extra Functionality for the 'xpose' Package

Eta continuous covariate plots (typical)

Description

Eta continuous covariate plots (typical)

Usage

eta_vs_contcov(
  xpdb,
  mapping = NULL,
  etavar = NULL,
  drop_fixed = TRUE,
  linsm = FALSE,
  type = "ps",
  title = "Eta versus continuous covariates | @run",
  subtitle = "Based on @nind individuals, Eta shrink: @etashk",
  caption = "@dir",
  tag = NULL,
  log = NULL,
  guide = TRUE,
  facets,
  .problem,
  quiet,
  ...
)

Arguments

xpdb	<⁠xp_xtras> or <⁠xpose_data'> object
mapping	ggplot2 style mapping
etavar	tidyselect for eta variables
drop_fixed	As in xpose
linsm	If type contains "s" should the smooth method by lm?
type	Passed to xplot_scatter
title	Plot title
subtitle	Plot subtitle
caption	Plot caption
tag	Plot tag
log	Log scale covariate value?
guide	Add guide line?
facets	Additional facets
.problem	Problem number
quiet	Silence output
...	Any additional aesthetics.

Value

The desired plot

Examples

eta_vs_contcov(xpdb_x)

# Labels and units are also supported
xpdb_x %>%
  xpose::set_var_labels(AGE="Age", MED1 = "Digoxin") %>%
  xpose::set_var_units(AGE="yrs") %>%
  set_var_levels(SEX=lvl_sex(), MED1 = lvl_bin()) %>%
  eta_vs_contcov()

xpose.xtras documentation built on April 4, 2025, 2:13 a.m.