eta_distribution_plot: Eta distribution plots

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

Eta distribution plots

Description

Eta distribution plots

Eta Distribution boxplot

Eta Distribution histogram plot

Usage

eta_distribution_plot(
  jitter,
  type,
  dname,
  is.shrink,
  shrink,
  is.jitter,
  histogram,
  filter,
  strat.facet,
  facets,
  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_box(ctr, ...)

pmx_plot_eta_hist(ctr, ...)

Arguments

jitter	list set jitter parameter
type	box for boxplot or histogram
dname	name of dataset to be used
is.shrink	logical if TRUE add shrinkage layer
shrink	list parameters to control shrinkage, must contain "fun"
is.jitter	logical if TRUE add jitter operator for points
histogram	list histogram graphical parameters 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)
facets	list facet_wrap parameters.
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
...	others graphics parameters passed : pmx_gpar internal function to customize shared graphical parameters distrib generic object for distribution plots (histogram/boxplot). pmx_update function. distrib parameters
ctr	pmx controller

Value

ggplot2 object

Examples

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

ctr <- theophylline()
## boxplot variation
p <- ctr %>% pmx_plot_eta_box()
## histogram variation
p <- ctr %>% pmx_plot_eta_hist()

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

## add jitter
ctr %>%
  pmx_plot_eta_hist(is.jitter = TRUE, jitter = list(alpha = 0.4, color = "red"))

## remove shrinkage
ctr %>%
  pmx_plot_eta_hist(is.shrink = FALSE)

## update histogram graphical parameters
ctr %>%
  pmx_plot_eta_hist(
    histogram = list(
      color = NA,
      position = "fill",
      binwidth = 1 / 100
    )
  )



# stratification  ----------------------------------

## categorical stratification color parameter
ctr %>% pmx_plot_eta_hist(is.jitter = TRUE, strat.facet = ~STUD, strat.color = ~SEX)
  
## categorical stratification facetting
ctr %>% pmx_plot_eta_hist(strat.facet = ~SEX)

## using formula categorical stratification facetting
ctr %>% pmx_plot_eta_hist(
  strat.facet = STUD ~ SEX,
  shrink = pmx_shrink(hjust = 0.5)
)

# subsetting  --------------------------------------

## select a set of random effect
ctr %>% pmx_plot_eta_hist(filter = EFFECT %in% c("ka", "Cl"))
## filter and stratify by facets
ctr %>% pmx_plot_eta_hist(
  filter = EFFECT %in% c("ka", "Cl"), strat.facet = ~SEX
)
ctr %>% pmx_plot_eta_hist(
  filter = EFFECT %in% c("ka", "Cl"), strat.facet = ~SEX
)

ggPMX documentation built on May 29, 2024, 1:40 a.m.