knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "man/figures/README-", out.width = "100%" )
This is an R package to generate forest plots of the coefficients of models produced
by lm
, glm
, survival::coxph
, etc.
The main function is forest_model
, with a helper function default_forest_panels
to produce
the necessary panels
data.frame
.
The package can be installed using install.packages
. It needs Hadley Wickham's
broom
, dplyr
, gpplot2
and lazyeval
packages.
Development takes place on the github repository https://github.com/NikNakk/forestmodel/.
You can install the released version of forestmodel from CRAN with:
install.packages("forestmodel")
And the development version from GitHub with:
# install.packages("devtools") devtools::install_github("NikNakk/forestmodel")
library(forestmodel) library(survival) library(dplyr) pretty_lung <- lung %>% transmute(time, status, Age = age, Sex = factor(sex, labels = c("Male", "Female")), ECOG = factor(lung$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")))
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