Plot parameter estimates against covariates

Use to create a stack of plots of parameter estimates plotted against covariates.

Usage

nlme.par.vs.cov(xpdb, covColNames, nrow = 1, ncol = 1, ...)

Arguments

xpdb

An xpose database object.

covColNames

Character vector of covariates to build the matrix.

nrow

Number of rows.

ncol

Number of columns; if ncol=1, each gtable object is treated separately.

...

Parameters to be passed to ggarrange().

Value

List of gtable

Examples

nlme.par.vs.cov(
  xpdb = xpdb_ex_Nlme,
  covColNames = c("sex", "wt", "age")
)
#> Warning: `aes_()` was deprecated in ggplot2 3.0.0.
#> ℹ Please use tidy evaluation idioms with `aes()`
#> ℹ The deprecated feature was likely used in the Certara.Xpose.NLME package.
#>   Please report the issue to the authors.
#> `geom_smooth()` using method = 'loess' and formula = 'y ~ x'

#> `geom_smooth()` using method = 'loess' and formula = 'y ~ x'

#> `geom_smooth()` using method = 'loess' and formula = 'y ~ x'

#> `geom_smooth()` using method = 'loess' and formula = 'y ~ x'



#> [[1]]

#> 
#> [[2]]

#> 
#> [[3]]

#> 
#> [[4]]

#> 
#> [[5]]

#> 
#> [[6]]

#>