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Cs-137 (line plot) #3
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Hi Dana, Thank you for your message. I also added 3 more arguments regarding the detection limit. Finally, I also added a new argument in the function to prevent from plotting the Cs line to answer the second part of your comment.
To summarise:
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Thanks a lot for the rapid answer! Will test this :) |
I actually did a few tests with the Am and Cs values totally removed, and it was misleading.. So I changed the code again. The values are still accounted for in the Cesium inventory though... Here is the result for the test data, with different detection limits (see home page of the package to get the data):
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Hey :) Sorry it took me a while to test this.
Thanks! |
Hi! Thanks for taking the time to test this. No worries at all about the delay: I still have had no time to check your other issue, and I may have to have you wait for a while, as I have lots of work these days. If you need an answer quicker, feel free to reach out about that other question to my co-author, Pierre Sabatier, as this is more of a "philosophical" question about what to do and not do, and he is the expert on age-depth models (I was the user of chronologies/developer). To answer your questions:
Let me know if this worked for you, and thank you again for helping improve
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Hi! No worries, and you are right, the other issue is a kind of "deeper" question and it's not at all urgent, I no longer work in this field of science and I'm just generally interested, because I find this R package a really cool tool. Plus non-linear fitting is certainly less convenient. There must be a good reason why most of the dating people use the linearized version of fitting. |
Thank you so much for you positive feedback! |
Hey Rosalie,
Is there a way of disabling the points in Cs-137 plot being connected by a line? It's a bit misleading in case some values are missing (not measured or below detection limit). Instead, some way of adding values of level of determination (< = less than) would be great. But already not having the line plot would be a great improvement.
Cheers!
Dana
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