xp.boot.par.est.corr: Correlations between covariate coefficients

In andrewhooker/xpose4: Diagnostics for Nonlinear Mixed-Effect Models

Correlations between covariate coefficients

Description

This function creates a plot showing the correlations in estimates for covariate coefficients, obtained from the first step (univariate testing) in each scm performed in the bootscm.

Usage

xp.boot.par.est.corr(
  bootgam.obj = NULL,
  sd.norm = TRUE,
  by.cov.type = FALSE,
  cov.plot = NULL,
  ask.covs = FALSE,
  dotpch = 19,
  col = rgb(0.2, 0.2, 0.9, 0.75),
  ...
)

Arguments

bootgam.obj	The object created using bootscm.import(), which hold the data for plotting.
sd.norm	Perform normalization of the covariate coefficients (default is TRUE). When TRUE, the estimated covariate coefficients will be multiplied by the standard deviation of the specific covariate (both for continuous and categorical covariates).
by.cov.type	Split the plot for continuous and dichotomous covariates. Default is FALSE.
cov.plot	A character vector which lists the covariates to include in the plot. If none are specified (NULL), all covariate coefficients will be included in the plot.
ask.covs	Ask the user which covariates to include in the plot. Default is FALSE.
dotpch	The character used for plotting.
col	The colors used for plotting.
...	Additional plotting arguments may be passed to this function.

Value

No value returned.

Author(s)

Ron Keizer

Examples

## Not run: 
xp.boot.par.est.corr(current.bootscm, sd.norm = TRUE,
                          cov.plot = c("CLSEX", "VSEX", "CLWT"))


## End(Not run)

andrewhooker/xpose4 documentation built on Feb. 26, 2024, 4:07 p.m.