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

Usage

nlme.ranpar.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.ranpar.vs.cov(xpdb = xpose::xpdb_ex_pk,
covColNames = c("SEX", "CLCR", "AGE")
)
#> `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'

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

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




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