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[REVIEW]: PRDA: An R pakcage for Prospective and Retrospective Design Analysis #2810
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Hello human, I'm @whedon, a robot that can help you with some common editorial tasks. @DominiqueMakowski, @mmrabe 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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PRDA is an R package aiming at facilitating the implementation of design analysis, a recent framework extending traditional power analysis. The package is very well documented, with a thorough yet accessible introduction to the conceptual framework. Regarding its API, it is also very accessible, well-documented with good examples and clear (helped by the low number of functions). I only have some minor comments that I made directly on the software's repo (see above ☝️) |
The submitted paper describes the R package PRDA, which can be used for retrospective and prospective design analysis. It has significant advantages over prior R packages, such as an option for prospective design analysis and using standardized effect sizes, which are more common than unstandardized effect sizes in some scientific disciplines. The paper, documentation, and examples are thoughtfully crafted and very straightforward. As a whole, they could possibly make the rather complex issue of power/design analysis more graspable and easy to address for researchers without advanced skills in statistical programming. @DominiqueMakowski has already thoroughly evaluated the paper/package with an exemplary speed 😲 and made a number of suggestions, all of which I support. I made three additional minor suggestions (see above 👆). Once these have been addressed, I can fully recommend the paper for publication in JOSS. |
@DominiqueMakowski and @mmrabe thanks for your very rapid reviews and thanks for your encouraging opinions! I had a quick look at the issues and all your suggestions are very useful. Most of them will require small changes so at the weekend I will have the time to fix everything. Thanks! |
@DominiqueMakowski @mmrabe, thanks for the prompt and thorough reviews. I really appreciate the time and effort you are putting in to review this submission! |
@ClaudioZandonella, how are the revisions coming along? |
Dear @cMadan I have integrated all the useful suggestions and comments by @mmrabe and @DominiqueMakowski. The only missing issue is ClaudioZandonella/PRDA#2 regarding the upload of the package to CRAN. I have re-submitted the package to CRAN after they required a few changes to abide by their policy. In a few days, everything should be ok and I will be able to ultimate the revision. |
Dear @cMadan, I have reviewed all the issues and updated the paper/paper.md file. Thanks, @mmrabe and @DominiqueMakowski I really appreciate your comments and suggestions. They helped me to improve the overall quality of the package. |
@whedon generate pdf |
PDF failed to compile for issue #2810 with the following error: Error producing PDF. Looks like we failed to compile the PDF |
I have removed the note with the email fo the corresponding author that caused the error. @whedon generate pdf |
@ClaudioZandonella, apologies for the delay. It's been a busy time for me with exam marking/other responsibilities, but I'll try and get this wrapped up over the next few days. |
@cMadan perfect thanks! I was just worried there might be some problems. Absolutely no rush, I know that unfortunately, these are difficult and busy times and indeed, thanks for the time you have already dedicated to our work. |
@whedon check references |
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@whedon generate pdf |
@ClaudioZandonella, everything looks good to me! To move forward with accepting your submission, there are a few last things to take care of:
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Dear @cMadan, thanks for your work. Here the last required information:
Let me know if there is something else I can do. |
@whedon set v1.0.0 as version |
OK. v1.0.0 is the version. |
@whedon set 10.5281/zenodo.4533739 as archive |
OK. 10.5281/zenodo.4533739 is the archive. |
@whedon accept |
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👋 @openjournals/joss-eics, this paper is ready to be accepted and published. Check final proof 👉 openjournals/joss-papers#2101 If the paper PDF and Crossref deposit XML look good in openjournals/joss-papers#2101, then you can now move forward with accepting the submission by compiling again with the flag
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@cMadan - I'm currently trying to move a bunch of submissions that are very close to finished through the last steps. I believe this is one of these so will proceed the accept and publish now. |
@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... |
@DominiqueMakowski, @mmrabe - many thanks for your reviews here and to @cMadan for editing this submission. JOSS relies upon the volunteer efforts of people like you, and we simply wouldn't be able to do it without you! ✨ @ClaudioZandonella - your paper is now accepted and published in JOSS ⚡🚀💥 |
🎉🎉🎉 Congratulations on your paper acceptance! 🎉🎉🎉 If you would like to include a link to your paper from your README use the following code snippets:
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Submitting author: @ClaudioZandonella (Claudio Zandonella Callegher)
Repository: https://github.com/ClaudioZandonella/PRDA
Version: v1.0.0
Editor: @cMadan
Reviewer: @DominiqueMakowski, @mmrabe
Archive: 10.5281/zenodo.4533739
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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Review checklist for @mmrabe
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