xpose.xtras (version 0.0.2)

eta_grid: Grid plots

Description

This is essentially a wrapper around ggpairs, except it uses xpose motifs and styling. Note that this function produces a lot of repetitive output if quiet=FALSE; this may not be an issue, but it could look like an error has occurred if many covariates and individual parameter estimates are included.

Usage

eta_grid(
  xpdb,
  mapping = NULL,
  etavar = NULL,
  drop_fixed = TRUE,
  title = "Eta correlations | @run",
  subtitle = "Based on @nind individuals, Eta shrink: @etashk",
  caption = "@dir",
  tag = NULL,
  pairs_opts,
  .problem,
  quiet,
  ...
)
cov_grid(
  xpdb,
  mapping = NULL,
  cols = NULL,
  covtypes = c("cont", "cat"),
  show_n = TRUE,
  drop_fixed = TRUE,
  title = "Covariate relationships | @run",
  subtitle = "Based on @nind individuals",
  caption = "@dir",
  tag = NULL,
  pairs_opts,
  .problem,
  quiet,
  ...
)
eta_vs_cov_grid(
  xpdb,
  mapping = NULL,
  etavar = NULL,
  cols = NULL,
  covtypes = c("cont", "cat"),
  show_n = TRUE,
  drop_fixed = TRUE,
  title = "Eta covariate correlations | @run",
  subtitle = "Based on @nind individuals, Eta shrink: @etashk",
  caption = "@dir",
  tag = NULL,
  etacov = TRUE,
  pairs_opts,
  .problem,
  quiet,
  ...
)

Value

xp_tras_plot object

Arguments

xpdb

<xp_xtras> or <xpose_data`> object

mapping

ggplot2 style mapping

etavar

tidyselect for eta variables

drop_fixed

As in xpose

title

Plot title

subtitle

Plot subtitle

caption

Plot caption

tag

Plot tag

pairs_opts

List of arguments to pass to _opts. See <xplot_pairs>

.problem

Problem number

quiet

Silence extra debugging output

...

Passed to xplot_pairs

cols

tidyselect for covariates variables

covtypes

Subset to specific covariate type?

show_n

Count the number of IDs in each category

etacov

Foreta_vs_cov_grid, eta are sorted after covariates to give an x orientation to covariate relationships.

Examples

# \donttest{

eta_grid(xpdb_x)
cov_grid(xpdb_x)
eta_vs_cov_grid(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_cov_grid()

# }