The introduction of the broom package has made converting model objects into data frames as simple as a single function. While the broom package focuses on providing tidy data frames that can be used in advanced analysis, it deliberately stops short of providing functionality for reporting models in publication-ready tables. pixiedust provides this functionality with a programming interface intended to be similar to ggplot2's system of layers with fine tuned control over each cell of the table. Options for output include printing to the console and to the common markdown formats (markdown, HTML, and LaTeX). With a little pixiedust (and happy thoughts) tables can really fly.
|Author||Benjamin Nutter [aut, cre]|
|Date of publication||2016-06-17 21:46:30|
|Maintainer||Benjamin Nutter <firstname.lastname@example.org>|
|License||MIT + file LICENSE|
as.data.frame.dust: Convert 'dust' Object to Data Frame
assert_match_arg: Checkmate Compatible Version of 'match.arg'
chain: Chain together multiple operations.
compoundAssignment: Chain together multiple operations.
dust: Dust Table Construction
glance_foot: Prepare Glance Statistics for 'pixiedust' Table Footer
medley: Sprinkle Medleys
medley_all_borders: Apply Cell Borders to All Cells in a Region
pixie_count: Access and manipulate table numbers counters
pixiedust: Tables So Beautifully Fine-Tuned You Will Believe It's Magic.
pixieply: Apply Functions Over 'dust_list' Objects
print.dust: Print A 'dust' Table
pvalString: Format P-values for Reports
sprinkle: Define Customizations to a Table
sprinkle_colnames: Column Names for 'dust' Tables
tidy_levels_labels: Term and Level Descriptions for 'pixiedust' Tables