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

Description Usage Arguments Value See Also

View source: R/plot-eta-pairs.R

Description

This creates an eta correlation which defines the relationship between parameters

Usage

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eta_pairs(
  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,
  ...
)

Arguments

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

list shrinkage graphical parameter

is.hline

logical if TRUE add horizontal line to lower matrix plots

hline

list geom_hline graphical parameters

...

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, 2021, 5:06 p.m.