Authors@R: person("Jacolien", "van Rij", role=c("aut", "cre"), email="vanrij.jacolien@gmail.com")

Title: New Plots Based on 'ggplot2' and Functions to Create Regular
Description: An extension to 'ggplot2' with miscellaneous functions. It contains
two groups of functions: Functions in the first group draw 'ggplot2' - based plots: gg_shading_bar() draws barplot
with shading colors in each bar. geom_rect_cm(), geom_circle_cm() and geom_ellipse_cm() draw rectangles, circles
and ellipses with centimeter as their unit. Thus their sizes do not change when the coordinate system or the aspect ratio
changes. Functions in the second group generate coordinates for regular shapes and make linear transformations.
Imports: plyr, ggfittext, magick, grid, gridExtra

Imports: plyr, ggfittext, magick, grid, gridExtra, scales

changes. annotation_transparent_text() draws labels with transparent texts. annotation_shading_polygon() draws irregular
polygons with shading colors. Functions in the second group generate coordinates for regular shapes and make linear transformations.

Imports: plyr, ggfittext (>= 0.8.1), magick, grid, gridExtra, scales

Description: An extension to 'ggplot2' and 'magick'. It contains
three groups of functions: Functions in the first group draw 'ggplot2' - based plots: geom_shading_bar() draws barplot
polygons with shading colors. Functions in the second group generate coordinates for regular shapes and make linear transformations. Functions in the third group are 'magick' - based functions facilitating image processing.

Imports: plyr, ggfittext (>= 0.8.1), magick, grid, gridExtra, scales,

Title: 'ggplot2' Version of "I'm Feeling Lucky!"
Authors@R: person("Stefan", "Schroedl", , "stefan.schroedl@gmx.de", c("aut", "cre"))
Description: Examines the characteristics of a data frame and a formula to
automatically choose the most suitable type of plot out of the following supported
options: scatter, violin, box, bar, density, hexagon bin, spine plot, and
heat map. The aim of the package is to let the user focus on what to plot,
rather than on the "how" during exploratory data analysis. It also automates
handling of observation weights, logarithmic axis scaling, reordering of
factor levels, and overlaying smoothing curves and median lines. Plots are
Suggests: testthat, ggplot2movies, mgcv, nlme, knitr, rmarkdown,