Comments (2)
With the recent release of David Bajnai's
isogeochem
, people looking for clumped-related processing code might be getting a bit lost in the woods when searching github. It would be nice to add a short description to each of our README sections linking to each other's projects, specifying how the projects differ from each other. What do you think?
Every project linking to every other project will scale poorly, won't it? I'd suggest something like "Awesome clumpy resources" (or some better name) inspired by other "Awesome" lists (e.g., here).
I've added the following short sentence to my R package
clumpedr
's dev branch:
D47crunch
is the Python processing code to process clumped data from δ47 values. It features a pooled regression for the empirical transfer function and many other features.are you happy with the description?
Sure, thanks. I'd just suggest mentioning that it does Δ48 as well, since it is not obvious from the name.
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Every project linking to every other project will scale poorly, won't it? I'd suggest something like "Awesome clumpy resources" (or some better name) inspired by other "Awesome" lists (e.g., here).
Based on this issue I just made this: clumpynomicon. Perhaps it'll catch on.
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Related Issues (15)
- decide on how to make plotting interfaces consistent HOT 5
- clumpycrunch formatting
- issue with trying to set parameter b to 0 in standardize(constraints = ...) call HOT 7
- D47crunch name HOT 2
- missing depency: rich? HOT 1
- UTF-8 encoding of csv HOT 4
- Output temperature in Table of Samples? HOT 2
- `indep_sessions` standardization is not working HOT 1
- Update module-level table functions for Δ49
- Implementation of Δ48 standardization HOT 6
- crunch throws an error with failed d45 type HOT 11
- standardize throws an error because of package lmfit HOT 5
- Improve `plot_distribution_of_analyses` or throw warnings in case there are many sessions/samples HOT 7
- `standardize` is slow with large datasets HOT 2
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