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eliocamp committed Sep 24, 2024
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metR packages several functions and utilities that make R better for handling meteorological data in the tidy data paradigm. It started mostly sa a packaging of assorted wrappers and tricks that I wrote for my day to day work as a researcher in atmospheric sciences. Since then, it has grown organically and for my own needs and feedback from users.

Conceptually it's divided into *visualization tools* and *data tools*. The former are geoms, stats and scales that help with plotting using [ggplot2](https://ggplot2.tidyverse.org/index.html), such as `stat_contour_fill()` or `scale_y_level()`, while the later are functions for common data processing tools in the atmospheric sciences, such as `Derivate()` or `EOF()`; these are implemented to work in the [data.table](https://github.com/Rdatatable/data.table/wiki) paradigm, but also work with regular data frames.
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