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Update Case Studies NBs for BCM #84
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Check out this pull request on You'll be able to see Jupyter notebook diff and discuss changes. Powered by ReviewNB. |
@junpenglao and @aloctavodia I can't update |
Yep, I'll do it by tonight max(16 hours)
…On Tue, Apr 28, 2020 at 5:44 AM Alexandre ANDORRA ***@***.***> wrote:
@junpenglao and @aloctavodia I can't update SignalDetectionTheory.ipynb yet because it uses heit_rotello.RData and I don't have R on my laptop.
If one of you has R installed, can you convert this R file into .csv or .txt please ? I think it's the good thing to do to make this port even more usable.
Thanks in advance, and tell me if you have any questions!
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I realized I misread the comment and you weren't asking me but I'll do so anyway :D If you're feeling like you want a challenge you could spin up an R docker container and do it yourself ;) But otherwise can you add a link to the .r file and I'll do it on my computer |
Ooh you're right, that could be fun! Let me try to do that then and I'll keep you posted 😉 |
The arviz docker container file in |
@canyon289 I managed to build and lauch an R Docker container (after some head scratching TBH), but I'm running into an issue when trying to load the file: > load("/heit_rotello.RData")
Error in load("/heit_rotello.RData") :
bad restore file magic number (file may be corrupted) -- no data loaded
In addition: Warning message:
file ‘heit_rotello.RData’ has magic number '"cond'
Use of save versions prior to 2 is deprecated After Googling, it seems to mean that the file was not saved properly. Unfortunately, I don't know the book, the data and R enough to solve that in a reasonable amount of time. So it'd be great if you or someone else could convert this R file into PS: Note for the future: always save the files to universal file formats |
@AlexAndorra I will send you the data in CSV format |
Thanks for the files Osvaldo! They are now updated. |
I suggest merging this next week -- potential fixes can go on subsequent PRs. |
Updates NBs for the Case Studies folder of BCM, as discussed in #36
This (painful) PR is now ready for review 🍾