Note: We aim to keep visR maintained, but cannot commit to any future development. For all your KM plot needs, we would recommend checking out ggsurvit.
The goal of visR is to enable fit-for-purpose, reusable clinical and medical research focused visualizations and tables with sensible defaults and based on sound graphical principles.
By using a common package for visualising data analysis results in the clinical development process, we want to have a positive influence on
- choice of visualisation by making it easy explore different visualisation and to use impactful visualisations fit-for-purpose
- effective visual communication by making it easy to implement best practices
We are not judging on what visualisation you chose for your research question, but want to facilitate and support good practice.
You can read more about the philosophy and architecture in the repo wiki.
The easiest way to get visR is to install from CRAN:
install.packages("visR")Install the development version from GitHub with:
# defaults to main branch
devtools::install_github("openpharma/visR") > citation("visR")
Please note that the visR project is released with a Contributor Code
of Conduct. By contributing to this project, you
agree to abide by its terms. Thank you to all contributors:
@ablack3, @AlexandraP-21, @ardeeshany, @bailliem, @cschaerfe, @ddsjoberg, @diego-s, @epijim, @galachad, @gdario, @ginberg, @jameshunterbr, @jinjooshim, @joanacmbarros, @Jonnie-Bevan, @kawap, @kawap93, @kentm4, @krystian8207, @kzalocusky, @lcomm, @lesniewa, @olivroy, @prabhushanmup, @rebecca-albrecht, @SHAESEN2, @teunbrand, @thanos-siadimas, @therneau, @thomas-neitmann, @timtreis, @yonicd