JoachimGoedhart / SuperPlotsOfData

Shiny app for visualization and comparison of data from discrete conditions
https://huygens.science.uva.nl/SuperPlotsOfData/
GNU General Public License v3.0
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Feature request: two different line colors connecting paired data: one for those increasing, other for those decreasing #7

Closed cchinopoulos closed 1 year ago

cchinopoulos commented 1 year ago

Hello Joachim, first, thank you very much for creating the Shiny apps and making them free and available to all. In the SuperPlotsOfData, would it be possible to have the option of coloring paired data that increase (i.e. from healthty to tumor) in grey and those paired data that decrease to a different color, and not have individual colors for each and every paired data? See attached. Kind regards, Christos SuperPlotsOfData_2023-10-13 10_18_00

JoachimGoedhart commented 1 year ago

Hi Christos,

Thanks for the kind words! I like the suggestion and I can see that it would be valuable. It will, however, change the main purpose of the app (distinguishing technical and biological replicates) and I do not see an easy/intuitive way to implement it.

If you like, we can have a chat and see how we can do this (together, also if you're not familiar with R) in ggplot2.

Best Regards, Joachim.

cchinopoulos commented 1 year ago

Hi Joachim, thank you for the feedback and your willingness to help. I am unfamiliar with R, and it seems that ggplot2 might be a challenge for me; let me ask some members of my group if they are familiar with R or ggplot2, and we can all chat, so as to save your time. Will get back to you soon. Best regards, Christos

On Tue, Oct 17, 2023 at 9:17 AM Joachim Goedhart @.***> wrote:

Hi Christos,

Thanks for the kind words! I like the suggestion and I can see that it would be valuable. It will, however, change the main purpose of the app (distinguishing technical and biological replicates) and I do not see an easy/intuitive way to implement it.

If you like, we can have a chat and see how we can do this (together, also if you're not familiar with R) in ggplot2.

Best Regards, Joachim.

— Reply to this email directly, view it on GitHub https://github.com/JoachimGoedhart/SuperPlotsOfData/issues/7#issuecomment-1765810003, or unsubscribe https://github.com/notifications/unsubscribe-auth/BDHVW5EY46ZBTN7WPPL5YHDX7YWG7AVCNFSM6AAAAAA56Y2NFGVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMYTONRVHAYTAMBQGM . You are receiving this because you modified the open/close state.Message ID: @.***>

--

Christos Chinopoulos MD, PhD, DSc Associate Professor Department of Biochemistry and Molecular Biology Semmelweis University Tuzolto st. 37-47 Room 4.521 Budapest, 1094 Hungary Tel: +3614591500 ext 60024 Fax: +3612670031 Mobile: +36702123369 email: @.***

cchinopoulos commented 1 year ago

Hi again, ok, a PhD student of mine is familiar with ggplot2, so he will be able to execute whatever you dictate in ggplot2. Please let me know when we could do this (zoom ok?) Best regards, Christos

On Tue, Oct 17, 2023 at 9:17 AM Joachim Goedhart @.***> wrote:

Hi Christos,

Thanks for the kind words! I like the suggestion and I can see that it would be valuable. It will, however, change the main purpose of the app (distinguishing technical and biological replicates) and I do not see an easy/intuitive way to implement it.

If you like, we can have a chat and see how we can do this (together, also if you're not familiar with R) in ggplot2.

Best Regards, Joachim.

— Reply to this email directly, view it on GitHub https://github.com/JoachimGoedhart/SuperPlotsOfData/issues/7#issuecomment-1765810003, or unsubscribe https://github.com/notifications/unsubscribe-auth/BDHVW5EY46ZBTN7WPPL5YHDX7YWG7AVCNFSM6AAAAAA56Y2NFGVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMYTONRVHAYTAMBQGM . You are receiving this because you modified the open/close state.Message ID: @.***>

--

Christos Chinopoulos MD, PhD, DSc Associate Professor Department of Biochemistry and Molecular Biology Semmelweis University Tuzolto st. 37-47 Room 4.521 Budapest, 1094 Hungary Tel: +3614591500 ext 60024 Fax: +3612670031 Mobile: +36702123369 email: @.***

JoachimGoedhart commented 1 year ago

Great, let's continue this conversation via email, I'll contact you