eta_pairs {ggPMX}

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()