residual: This function create a residual for each observed value and...

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

This function create a residual for each observed value and also generates a residual distribution

Description

This function create a residual for each observed value and also generates a residual distribution

Usage

residual(
  x,
  y,
  labels = NULL,
  point = NULL,
  is.hline = FALSE,
  hline = NULL,
  dname = NULL,
  facets = NULL,
  bloq = NULL,
  square_plot = TRUE,
  ...
)

Arguments

x	x axis aesthetics
y	y axis aesthetics
labels	list that contain title,subtitle, axis labels
point	geom point graphical parameters
is.hline	logical if TRUE add horizontal line y=0 ( TRUE by default)
hline	geom hline graphical parameters
dname	name of dataset to be used
facets	list wrap facetting in case of strat.facet
bloq	pmxBLOQ object created by pmx_bloq
square_plot	square dv_pred plot (TRUE by default)
...	others graphics arguments passed to pmx_gpar internal object.

Details

Some parameters are a list of parameters :

point is a list that contains:

• shape: default to 1

• color: default to black

• size: default to 1

labels is a list that contains:

• title: plot title default to AES_X versus AES_Y

• subtitle: plot subtitle default empty

• x: x axis label default to AES_X

• y: y axis label default to AES_Y

Value

a residual object

See Also

plot_pmx.residual

ggPMX documentation built on July 9, 2023, 7:45 p.m.