eta_cov: This creates an ETA covariance matrix which can be used to...

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

eta_covR Documentation

This creates an ETA covariance matrix which can be used to define the co-relation between the parameters and its shrinkage..

Description

This creates an ETA covariance matrix which can be used to define the co-relation between the parameters and its shrinkage..

Usage

eta_cov(
  labels,
  type = c("cats", "conts"),
  dname = NULL,
  show.correl = TRUE,
  correl = NULL,
  facets = NULL,
  point = NULL,
  covariates = NULL,
  is.strat.color = FALSE,
  ...
)

Arguments

labels

list of texts/titles used within the plot

type

box for cats or conts

dname

name of dataset to be used

show.correl

logical if TRUE add correlation to the plot

correl

list correl geom text graphical parameter

facets

list facetting graphical parameter

point

list geom point graphical parameter

covariates

pmxCOVObject pmx_cov

is.strat.color

logical if 'TRUE' use a different color for the spline stratification.

...

others graphics arguments passed to pmx_gpar internal object.

Details

labels is a list that contains:

  • title: plot title default "EBE vs. covariates"

  • x: x axis label default to "Etas"

  • y: y axis label default to empty

Value

eta_cov object

See Also

Other plot_pmx: distrib(), eta_pairs(), 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 June 18, 2022, 1:05 a.m.