Nothing

ggforestplotR provides a ggplot2-first workflow for building forest plots
from tidy coefficient tables or fitted model objects.
install.packages("ggforestplotR")
#install.packages("remotes")
remotes::install_github("thatoneguy006/ggforestplotR")
ggforestplotR currently supports two core workflows:
library(ggforestplotR)
library(ggplot2)
sectioned_coefs <- data.frame(
term = c("Age", "BMI", "Smoking", "Stage II", "Stage III", "Nodes"),
estimate = c(0.10, -0.08, 0.20, 0.34, 0.52, 0.28),
conf.low = c(0.02, -0.16, 0.05, 0.12, 0.20, 0.06),
conf.high = c(0.18, 0.00, 0.35, 0.56, 0.84, 0.50),
section = c("Clinical", "Clinical", "Clinical", "Tumor", "Tumor", "Tumor")
)
ggforestplot(
sectioned_coefs,
facet = "section",
striped_rows = TRUE,
stripe_fill = "grey94",
facet_strip_position = "right"
)

ggforestplot(
sectioned_coefs,
striped_rows = TRUE,
stripe_fill = "grey94"
) +
add_forest_table()

ggforestplot(
sectioned_coefs,
striped_rows = TRUE,
stripe_fill = "grey94"
) +
add_split_table()

ggforestplot() builds the plotting panel from a data frame or supported model object.add_forest_table() attaches a summary table to the left or right side of the plot.add_split_table() creates a more traditional forestplot layout with table columns on both sides of the plot.as_forest_data() standardizes custom coefficient data.tidy_forest_model() converts fitted models into plotting-ready coefficient data.Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.