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View Code? Open in Web Editor NEWR Package - Quantitative Analysis in Archaeology
R Package - Quantitative Analysis in Archaeology
Should we set up a lintr-bot for automatic syntax-correction?
Never personally worked with it, but I've seen it some times. Facilitates keeping code clean.
Which methods of varnastat should be included, and in which way this should be done?
Options:
I have queried my swiss contacts, who started using R recently, which features they would love to have in an archaeological package, and here is what they replied (I just put the answer here like I received it in plain german for discussion):
===snip===
(die letzten beiden schritte mache ich zurzeit noch in Excel...)
===snip===
I think it's time to decide what we want to do with this package. When we started this 2 years ago we had a lot of ideas, but no concrete plan and therefore quantAAR remained a lazy dumping ground for old code. Some of the ideas we had back then became reality in the meantime (e.g. ISAAKiel/oxcAAR, nfrerebeau/tabula) and others remained unsolved.
I suggest to focus with this package on tidy wrappers and utility functions for the most important multivariate analysis methods in archaeology. I did some work towards this idea and want to hear your opinion. What I want to do:
I'm especially interested in your thoughts @MartinHinz .
Should 14C calibration be included at all?
If so, should we depend on eg. bchron, or shall we code a calibration by ourselves?
If so, including Bayesian Calibration? Maybe as future milestone?
I'm currently working on some tools to work with 3D spatial data within the scope of excavations. This could be part of a bigger effort to provide tools for field archaeologists. Some ideas:
Include c(c)a and/or other ordination methods like (N)MDS.
I opt for dependency on vegan.
The aim should be to make them more accessible for archaeologists...
I suggest implementing a set of functions for a standard workflow of burial site analysis.
This could involve
varnastat
analysis of the burial itemsineq
This would include and refer also to feature_requests #2 and #3 ...
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