This is an R package to generate forest plots of the coefficients of
models produced by lm, glm, survival::coxph, etc.
The main function is forest_model, with a helper function
default_forest_panels to produce the necessary panels data.frame.
The package can be installed using install.packages. It needs Hadley
Wickham’s broom, dplyr, gpplot2 and lazyeval packages.
Development takes place on the github repository https://github.com/NikNakk/forestmodel/.
You can install the released version of forestmodel from CRAN with:
install.packages("forestmodel")And the development version from GitHub with:
# install.packages("devtools")
devtools::install_github("NikNakk/forestmodel")library(forestmodel)
library(survival)
library(dplyr)
pretty_lung <- lung %>%
transmute(time,
status,
Age = age,
Sex = factor(sex, labels = c("Male", "Female")),
ECOG = factor(lung$ph.ecog),
`Meal Cal` = meal.cal)
print(forest_model(coxph(Surv(time, status) ~ ., pretty_lung)))
Specifying the covariates to show:
print(forest_model(coxph(Surv(time, status) ~ ., pretty_lung),
covariates = c("Age", "Sex")))