Generate regression results tables and plots in final format for publication. Explore models and export directly to PDF and 'Word' using 'RMarkdown'.
finalfit package provides functions that help you quickly create elegant final results tables and plots when modelling in R. These can easily be exported as Word documents, PDFs, or html files.
Its design follows Hadley Wickham's tidy tool manifesto.
In addition, it provides functions for identifying and handling missing data, together with a number of functions to bootstrap simulate regression model results.
You can install
finalfit from CRAN:
It is recommended that this package is used together with
dplyr which can be installed via:
The package documentation is maintained independently at finalfit.org.
lmmixed()now support random gradient models, and all complex
finalfit()for not-allowed colons (:) in factor levels. #10
ff_glimpse()re-written to remove
missing_glimpse()added: single data frame describing all variables and missing values
ff_interaction()added: create variable for an interaction between two factors
ff_label()added: easily add label to variable in dataframe
ff_newdata()modified to take dataframe without requirement for dependent and explanatory arguments
summary_factorlist()modified to allow user to change number of unique factor levels at which a variable a continuous variable is converted to a factor (
fit2df()and its internal function
extract_fitmodified to take
missing_predictorMatrix()added for use with
metrics_hoslem()is the first of a number of 'metrics' functions which will be introduced.