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[REVIEW]: cofad: An R package and shiny app for contrast analysis #3822
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Hello human, I'm @whedon, a robot that can help you with some common editorial tasks. @tianxzhu, @svmiller it looks like you're currently assigned to review this paper 🎉. Due to the challenges of the COVID-19 pandemic, JOSS is currently operating in a "reduced service mode". You can read more about what that means in our blog post. ⭐ Important ⭐ If you haven't already, you should seriously consider unsubscribing from GitHub notifications for this (https://github.com/openjournals/joss-reviews) repository. As a reviewer, you're probably currently watching this repository which means for GitHub's default behaviour you will receive notifications (emails) for all reviews 😿 To fix this do the following two things:
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👋 @svmiller, please update us on how your review is going (this is an automated reminder). |
Should have just completed my review now. |
@whedon generate pdf |
@whedon check references |
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@johannes-titz could you please update the short DOIs to full length DOIs? Specifically these two
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@chartgerink Thanks for the update! I changed the short DOIs to full length DOIs. Is this OK? |
@whedon check references |
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many thanks @johannes-titz! I am only awaiting a short summary from the reviewers - after that I can move forward with the editorial process based on their assessment. |
I think what Titz and Burkhardt offer here merits publication in the Journal of Open Source Software. The authors advocate for greater use of a contrast analysis for testing hypotheses about means in a factorial design. The authors note that alternatives to the contrast analysis exist, though with important limitations. To better advocate its use, the authors offer a Shiny app that allows users to upload their own data to do their own contrast analyses. I think the authors have provided an important contribution to researchers working in psychology and the social sciences (who would assuredly benefit from these methods). I was able to upload a pilot data set and calculate my own contrast analyses, so the software behaves as it should. I'm also a big proponent of rewarding those who make software to make all our lives easier. I recommend JOSS proceed with publication here. |
I haven't heard back from @tianxzhu, but given the positive review from @svmiller and no negative comments from @tianxzhu - I will move forward and am happy to accept this for publication, @johannes-titz 😊 @johannes-titz could you please deposit the software in Zenodo/FigShare and share the DOI with me? See also here I will initiate some of whedon's checks in the meantime. |
@whedon generate pdf |
@whedon check references |
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@chartgerink Thank you very much! I just made a final commit for the release and released version 0.2.1 on github (tag v0.2.1), which is also linked at zenodo (https://zenodo.org/record/5702779) with the following doi: 10.5281/zenodo.5702779 Do you need anything else? @svmiller Thank you for such a positive feedback! I hope the software will be as useful as your review suggests :). @tianxzhu Thank you very much for your time and effort to review the submission! |
@whedon set 10.5281/zenodo.5702779 as archive |
OK. 10.5281/zenodo.5702779 is the archive. |
@whedon recommend-accept |
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👋 @openjournals/joss-eics, this paper is ready to be accepted and published. Check final proof 👉 openjournals/joss-papers#2751 If the paper PDF and Crossref deposit XML look good in openjournals/joss-papers#2751, then you can now move forward with accepting the submission by compiling again with the flag
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@johannes-titz the editor in chief that's on rotation will do a final pass and may come back with a final bit here and there. Otherwise, we're good and thank you for your patience as we worked through this :) |
@whedon accept deposit=true |
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🐦🐦🐦 👉 Tweet for this paper 👈 🐦🐦🐦 |
🚨🚨🚨 THIS IS NOT A DRILL, YOU HAVE JUST ACCEPTED A PAPER INTO JOSS! 🚨🚨🚨 Here's what you must now do:
Any issues? Notify your editorial technical team... |
@tianxzhu, @svmiller – many thanks for your reviews here and to @chartgerink for editing this submission! JOSS relies upon the volunteer effort of people like you and we simply wouldn't be able to do this without you ✨ @johannes-titz – your paper is now accepted and published in JOSS ⚡🚀💥 |
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@arfon Thank you for being so quick with the final steps! @chartgerink Thanks for the professional editing process! @svmiller @tianxzhu Thanks again for taking the time to review this submission. |
Congratulations @johannes-titz 💯 Thanks for considering JOSS and see you around on the interwebs 😊 It was lovely to be a part of your paper! |
Submitting author: @johannes-titz (Johannes Titz)
Repository: https://github.com/johannes-titz/cofad
Version: v0.2.0
Editor: @chartgerink
Reviewer: @tianxzhu, @svmiller
Archive: 10.5281/zenodo.5702779
Due to the challenges of the COVID-19 pandemic, JOSS is currently operating in a "reduced service mode". You can read more about what that means in our blog post.
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