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As discussed today on Zoom, I agree wrapping ggplot2 into a custom function may be unnecessary as ggplot2 is already an optimum on the flexibility/usability point of view.
However, there are other, lighter touch, ways to offer a tighter integration with ggplot2 and reduce the need for custom data wrangling for the user while keeping ggplot2 flexibility.
These two blog posts do a nice job at explaining the different options you may want to explore (custom geom, fortify method, etc.):
I'm happy to discuss more about this. Note that a satisfactory resolution of this issue may also be to simply continue with the current approach after reading the linked blog posts and considering your options.
The text was updated successfully, but these errors were encountered:
As discussed today on Zoom, I agree wrapping ggplot2 into a custom function may be unnecessary as ggplot2 is already an optimum on the flexibility/usability point of view.
However, there are other, lighter touch, ways to offer a tighter integration with ggplot2 and reduce the need for custom data wrangling for the user while keeping ggplot2 flexibility.
These two blog posts do a nice job at explaining the different options you may want to explore (custom geom, fortify method, etc.):
https://mitchelloharawild.com/blog/ggplot2-package-design/
https://www.cynthiahqy.com/posts/ggplot-helper-design
I'm happy to discuss more about this. Note that a satisfactory resolution of this issue may also be to simply continue with the current approach after reading the linked blog posts and considering your options.
The text was updated successfully, but these errors were encountered: