```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```
# forestmodel
[](https://travis-ci.org/NikNakk/forestmodel)
[](https://ci.appveyor.com/project/NikNakk/forestmodel)
[](https://cran.r-project.org/package=forestmodel)
[](https://github.com/NikNakk/forestmodel/actions)
[](https://CRAN.R-project.org/package=forestmodel)
This is an R package to generate forest plots of the coefficients of models produced
by `lm`, `glm`, `survival::coxph`, etc.
The main function is `forest_model`, with a helper function `default_forest_panels` to produce
the necessary `panels` `data.frame`.
## Installation
The package can be installed using `install.packages`. It needs Hadley Wickham's
`broom`, `dplyr`, `gpplot2` and `lazyeval` packages.
Development takes place on the github repository https://github.com/NikNakk/forestmodel/.
## Installation
You can install the released version of forestmodel from [CRAN](https://CRAN.R-project.org) with:
``` r
install.packages("forestmodel")
```
And the development version from [GitHub](https://github.com/) with:
``` r
# install.packages("devtools")
devtools::install_github("NikNakk/forestmodel")
```
## Example
```{r example, message = FALSE}
library(forestmodel)
library(survival)
library(dplyr)
pretty_lung %
transmute(time,
status,
Age = age,
Sex = factor(sex, labels = c("Male", "Female")),
ECOG = factor(lung$ph.ecog),
`Meal Cal` = meal.cal)
print(forest_model(coxph(Surv(time, status) ~ ., pretty_lung)))
```
Specifying the covariates to show:
```{r, select_variables}
print(forest_model(coxph(Surv(time, status) ~ ., pretty_lung),
covariates = c("Age", "Sex")))
```
