role = c("aut"), comment = "provided summary stats tables tab code"),
role = c("aut"), comment = "provided ggkm code")
'table1' tables with descriptive stats, all using an easy-to-use point and click
Imports: colourpicker, dplyr, DT, Formula, ggplot2, ggpmisc, ggrepel
(>= 0.7.0), grDevices, grid, gridExtra, Hmisc, lazyeval,
markdown, methods, plotly, quantreg, rlang, scales, shiny (>=
1.0.4), shinyjs, stats, stringr, survival, tidyr, table1 (>=
Benjamin Rich [aut] (provided summary stats tables tab code),
Michael Sachs [aut] (provided ggkm code)

Title: Quickly Explore Your Data Using 'ggplot2' and 'table1' Summary

Imports: colourpicker, dplyr, DT, Formula, GGally, ggplot2, ggstance,
ggpmisc, ggrepel (>= 0.7.0), ggpubr, survminer, grDevices,
grid, gridExtra, Hmisc, lazyeval, markdown, methods, plotly,
quantreg, rlang, scales, shiny (>= 1.0.4), shinyjs, stats,
stringr, survival, tidyr, table1 (>= 1.1), utils

Imports: colourpicker, dplyr, DT, Formula, GGally, ggplot2, ggpmisc,
ggrepel (>= 0.7.0), ggstance, ggpubr, grDevices, grid,
gridExtra, Hmisc, lazyeval, markdown, methods, plotly,
quantreg, rlang, scales, shiny (>= 1.0.4), shinyjs (>= 1.1),
shinyjqui, stats, stringr, survival, survminer, tidyr, table1

Imports: colourpicker, dplyr, DT, Formula, GGally, ggplot2 (>= 3.3.1),
ggpmisc, ggrepel (>= 0.7.0), ggstance, ggpubr, grDevices, grid,

Imports: colourpicker, dplyr, DT, Formula, GGally, ggplot2 (>= 3.3.2),

Imports: colourpicker, dplyr, DT, Formula, GGally (>= 2.1.0),
ggbeeswarm, ggplot2 (>= 3.3.2), ggpmisc, ggrepel (>= 0.7.0),
ggstance, ggpubr, gridExtra, Hmisc, markdown, methods, plotly,
shinyjqui, stringr, survival, survminer, tidyr, table1 (>=

ggbeeswarm, ggplot2 (>= 3.3.4), ggpmisc, ggrepel (>= 0.7.0),

ggpubr, gridExtra, Hmisc, markdown, methods, plotly, quantreg,
rlang, scales, shiny (>= 1.0.4), shinyjs (>= 1.1), shinyjqui,
stringr, survival, survminer, tidyr, table1 (>= 1.2), zoo,

Description: An extension of 'ggplot2' to provide quiver plots to visualise vector fields.
This functionality is implemented using a geom to produce a new graphical layer, which
allows aesthetic options. This layer can be overlaid on a map to improve visualisation
Authors@R: person("Mitchell", "O'Hara-Wild", email = "mail@mitchelloharawild.com", role = c("aut", "cre"))