eta_cov_plot: Eta Covariates plots

In ggPMX: 'ggplot2' Based Tool to Facilitate Diagnostic Plots for NLME Models

Eta Covariates plots

Description

Eta Covariates plots

Relationships between (ETA) and categorical covariates

Relationships between (ETA) and continuous covariates

Usage

dummy(
  dname,
  show.correl,
  correl,
  point,
  facets,
  covariates,
  filter,
  strat.facet,
  strat.color,
  trans,
  pmxgpar,
  labels,
  axis.title,
  axis.text,
  ranges,
  is.smooth,
  smooth,
  is.band,
  band,
  is.draft,
  draft,
  is.identity_line,
  identity_line,
  scale_x_log10,
  scale_y_log10,
  color.scales
)

pmx_plot_eta_cats(ctr, ...)

pmx_plot_eta_conts(ctr, ...)

Arguments

dname	character name of dataset to be used
show.correl	logical if TRUE add correlation to the plot
correl	list correl geom text graphical parameter
point	list geom point graphical parameter
facets	list facetting graphical parameter
covariates	list of selected covariates and custom labels, e.g. pmx_cov(values = list("SEX"), labels = list("Sex")) list pmxCOVObject pmx_cov pmx_update parameters
filter	expression filter which will be applied to plotting data.
strat.facet	formula optional stratification parameter by facetting. This split plot by strats(each strat in a facet)
strat.color	character optional stratification parameter by grouping. This will split the plot by group (color) of strat.
trans	character define the transformation to apply on x or y or both variables
pmxgpar	a object of class pmx_gpar possibly the output of the pmx_gpar: Shared basic graphics parameters
labels	list list containing plot and/or axis labels: title, subtitle, x , y
axis.title	list containing element_text attributes to customize the axis title. (similar to ggplot2 axis.title theme)
axis.text	list containing element_text attributes to customize the axis text (similar to ggplot2 axis.text theme)
ranges	list limits of x/y ranges
is.smooth	logical if set to TRUE add smooth layer
smooth	list geom_smooth graphical/smoothing fun parameters
is.band	logical if TRUE add horizontal band
band	list horizontal band parameters. geom_hline graphical parameters.
is.draft	logical if TRUE add draft layer
draft	list draft layer parameters. geom_text graphical parameters.
is.identity_line	logical if TRUE add an identity line
identity_line	listgeom_abline graphical parameters.
scale_x_log10	logical if TRUE use log10 scale for x axis.
scale_y_log10	logical if TRUE use log10 scale for y axis.
color.scales	list define scales parameter in case of strat.color pmx_settings
ctr	pmx controller
...	others graphics parameters passed : pmx_gpar internal function to customize shared graphical parameters eta_cov generic object for eta/covariates plots. pmx_update function. eta_cov parameters

Value

ggplot2 object

ggplot2 object

ggplot2 object

Examples

# basic use  ---------------------------------------

ctr <- theophylline()
ctr %>% pmx_plot_eta_cats
ctr %>% pmx_plot_eta_conts

# update graphical parameter  ----------------------

## plot selected covariates
ctr %>% pmx_plot_eta_cats(
  covariates = pmx_cov(values = list("SEX"))
  )


## update labels
ctr %>% pmx_plot_eta_cats(
  labels = list(title = "New eta cats title")
)

## remove draft
ctr %>% pmx_plot_eta_cats(is.draft = FALSE)

## change text color line
ctr %>% pmx_plot_eta_conts(
  correl=list(colour="magenta")
  )

## set covariates custom labels 

ctr %>% pmx_plot_eta_conts(
  covariates=pmx_cov(values=list("WT0","AGE0"),
                     labels=list("Weight","Age"))
)

## set effects and covaraites custom labels


ctr <- theophylline( settings = pmx_settings(
  effects=list( levels=c("ka", "V", "Cl"), 
                labels=c("Concentration","Volume","Clearance")
  )
)
)
ctr %>% pmx_plot_eta_conts(
  covariates=pmx_cov(values=list("WT0","AGE0"),
                     labels=list("Weight","Age"))
)

ggPMX documentation built on Sept. 9, 2025, 5:40 p.m.