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xpose.xtras (version 0.0.2)

eta_vs_contcov: 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,
  ...
)

Value

The desired plot

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.

Examples

Run this code
# \donttest{

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()
# }

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