cwres_covariate: Create CWRES versus covariate displays

In metrumresearchgroup/pmplots: Plots for Pharmacometrics

Create CWRES versus covariate displays

Description

Get a single graphic of CWRES versus continuous and / or categorical covariates (cwres_covariate()) or get a list that can be arranged by the user (cwres_covariate_list()). See cwres_panel() for other CWRES diagnostic displays.

Usage

cwres_covariate(df, x, ncol = 2, tag_levels = NULL, byrow = NULL)

cwres_covariate_list(df, x)

Arguments

df	a data frame to plot.
x	character ⁠col//title⁠ for covariates to plot on x-axis; see col_label().
ncol	passed to pm_grid().
tag_levels	passed to patchwork::plot_annotation().
byrow	passed to pm_grid().

Details

Pass ncol = NULL or another non-numeric value to bypass arranging plots coming from cwres_covariate().

Value

cwres_covariate() returns single graphic of scatter plot diagnostics as a patchwork object that has been arranged using pm_grid() and cwres_covariate_list() returns the same component plots unarranged in a list.

See Also

npde_covariate(), eta_covariate()

Examples

data <- pmplots_data_id()
cont <- c("WT//Weight (kg)", "ALB//Albumin (mg/dL)")
cats <- c("RF//Renal function", "CPc//Child-Pugh")

cwres_covariate(data, x = c(cont, cats), tag_levels = "A")
cwres_covariate_list(data, x = cont)

metrumresearchgroup/pmplots documentation built on Oct. 15, 2024, noon