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.
cwres_covariate(df, x, ncol = 2, tag_levels = NULL, byrow = NULL)
cwres_covariate_list(df, x)
a data frame to plot.
character col//title
for covariates to plot on x-axis;
see col_label()
.
passed to pm_grid()
.
passed to patchwork::plot_annotation()
.
passed to pm_grid()
.
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.
Pass ncol = NULL
or another non-numeric value to bypass arranging plots
coming from cwres_covariate()
.
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")
#> Creating CWRES column from CWRESI
#> Creating CWRES column from CWRESI
#> Creating CWRES column from CWRESI
#> Creating CWRES column from CWRESI
#> `geom_smooth()` using formula = 'y ~ x'
#> `geom_smooth()` using formula = 'y ~ x'
cwres_covariate_list(data, x = cont)
#> Creating CWRES column from CWRESI
#> Creating CWRES column from CWRESI
#> $WT
#> `geom_smooth()` using formula = 'y ~ x'
#>
#> $ALB
#> `geom_smooth()` using formula = 'y ~ x'
#>
#> attr(,"class")
#> [1] "pm_display" "list"