eta_pairs: This creates an eta correlation which defines the...

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

This creates an eta correlation which defines the relationship between parameters

Description

This creates an eta correlation which defines the relationship between parameters

Usage

eta_pairs(
  is.title,
  title,
  dname = NULL,
  type.eta = c("mode", "mean"),
  text_color = "black",
  is.shrink = TRUE,
  is.smooth = TRUE,
  smooth = NULL,
  point = NULL,
  shrink = NULL,
  is.hline = FALSE,
  hline = NULL,
  is.vreference_line = FALSE,
  vreference_line = list(colour = "orange", linetype = "longdash"),
  ...
)

Arguments

is.title	logical if TRUE then a title is used for the plot
title	character the plot title
dname	name of dataset to be used
type.eta	character type of eat can be 'mode' or 'mean'.'mode' by default
text_color	color of the correlation text in the upper matrix
is.shrink	logical if TRUE add shrinkage to the plot
is.smooth	logical if TRUE add smoothing to lower matrix plots
smooth	list geom_smooth graphical parameters
point	list geom_point graphical parameter
shrink	pmxShrinkClass shrinkage graphical parameter or list coercible into one
is.hline	logical if TRUE add horizontal line to lower matrix plots
hline	list geom_hline graphical parameters
is.vreference_line	logical if TRUE add the +- 1.96 lines
vreference_line	list geom_hline graphical parameters for the reference lines
...	others graphics arguments passed to pmx_gpar internal object.

Value

ecorrel object

See Also

Other plot_pmx: distrib(), eta_cov(), individual(), plot_pmx.distrib(), plot_pmx.eta_cov(), plot_pmx.eta_pairs(), plot_pmx.individual(), plot_pmx.pmx_dens(), plot_pmx.pmx_gpar(), plot_pmx.pmx_qq(), plot_pmx.residual(), plot_pmx()

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