Forest Plots from Regression Models

Produces forest plots using 'ggplot2' from models produced by functions such as stats::lm(), stats::glm() and survival::coxph().


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.

pretty_lung <- lung %>%
            Age = age,
            Sex = factor(sex, labels = c("Male", "Female")),
            ECOG = factor(lung$ph.ecog),
            `Meal Cal` =
print(forest_model(coxph(Surv(time, status) ~ ., pretty_lung)))

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


  • Fixed problem with coxph models that used special functions.
  • Changed from forest_breaks to graphics::axisTicks for break calculation.
  • Added n_events and person_time variables to data for display when using a coxph model
  • Now handles logical covariates appropriately
  • Tweaks to break and limit calculation
  • Added option (set as default) to recalcluate panel widths
  • Added function to make custom panels easier to generate (forest_panels)
  • Tidied up parameters to make them more consistent between functions
  • Updated panel object to be a list of lists for greater flexibility
  • Added forest_rma function to produce forest plots from output of metafor::rma
  • Initial release

Reference manual

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0.4.3 by Nick Kennedy, 7 months ago

Browse source code at

Authors: Nick Kennedy <>

Documentation:   PDF Manual  

Task views: Meta-Analysis

GPL-2 license

Imports dplyr, broom, lazyeval

Depends on ggplot2

Suggests survival, metafor

See at CRAN