The new version of gtsummary is heading to CRAN this week.
Please take a moment to test the dev package before the BIG release.
Friends! I need some assistance with a BIG release of gtsummary! 🙏
I would be super appreciative if you could take the new version for a spin before we send it off to CRAN.
Release details here: https://bit.ly/gtsummary-v2
#rstats #datascience #gtsummary
Nearly every line has been updated with more consistency and efficiency on the backend and new features on the frontend: that’s a rare party in the front AND the back!
#gtsummary v1.7.0 is now on CRAN!🐘🕺
What I thought would be a small release to account me a small change in the new dplyr, turned into a great release with many new features (primarily added by
Joseph Larmarange)!
Creates presentation-ready tables summarizing data sets, regression models, and more. The code to create the tables is concise and highly customizable. Data frames can be summarized with any function, e.g. mean(), median(), even user-written functions. Regression models are summarized and include the reference rows for categorical variables. Common regression models, such as logistic regression and Cox proportional hazards regression, are automatically identified and the tables are pre-filled with appropriate column headers.
Please to announce the latest release of the {gtsummary}📦!
My favorite new feature is that header rows in flextable output now recognize markdown syntax for bold/italic😍🤓
Creates presentation-ready tables summarizing data sets, regression models, and more. The code to create the tables is concise and highly customizable. Data frames can be summarized with any function, e.g. mean(), median(), even user-written functions. Regression models are summarized and include the reference rows for categorical variables. Common regression models, such as logistic regression and Cox proportional hazards regression, are automatically identified and the tables are pre-filled with appropriate column headers.
Harald Kliems
Daniel Sjoberg
Dr. Kevin P. Taylor