Plot covariate forest plots

Source: R/covariate-explore.R

[Stable]

Uses ggplot2 to take outputs from cov_forest_data() and display a forest plot.

cov_forest_plot(d)

Arguments

d

A data.frame from cov_forest_data().

Value

A ggplot2 forest plot.

Examples


## requires NONMEM to be installed
if (FALSE) {

dcov <- input_data(m1, filter = TRUE)
dcov <- dcov[!duplicated(dcov$ID), ]
covariate_scenarios <- bind_rows(
  tibble(cov = "HEALTHGP", value = c(0, 1)),
  tibble(cov = "HEPATIC", value = unique(dcov$HEPATIC[dcov$HEPATIC > -99])),
  tibble(cov = "BWTIMP", value = c(50, 80, 120)),
  tibble(cov = "ECOG", value = c(0, 1, 2, 3)),
  tibble(cov = "BEGFRIMP", value = quantile(dcov$BEGFR[dcov$BEGFR > -99])),
  tibble(cov = "RACE", value = c(1, 2), text = c("white", "black")),
  tibble(cov = "PPI", value = c(0, 1)),
  tibble(cov = "H2RA", value = c(0, 1))
)

dplot <- cov_forest_data(m1, covariate_scenarios = covariate_scenarios)
cov_forest_plot(dplot)
}