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Help make assertr better! Come close issues

The package assertr maintained by Tony Fischetti, provides functionality to assert conditions that have to be met so that errors in data used in analysis pipelines can fail quickly. The provided functionality is similar to stopifnot() but more powerful, friendly, and easier for use in pipelines.

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Contributed to assertr!

The assertr issue tracker has a few tickets that you could help with, please have a look. You can also subscribe to be notified of new issues opened in this repository.

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rOpenSci News Digest, February 2024

Code of conduct transparency report; coworking; new packages and package news

Beautiful Code, Because We’re Worth It!

rOpenSci’s second cohort of champions was onboarded! Their training started with a session on code style, which we will summarize here in this post. Knowing more about code quality is relevant to all Champion projects, be it creating a new package, submitting a package to software review, or reviewing a package. This training session consisted of a talk and discussion, whereas the next package development training sessions will be more hands-on....

Read and Play Digital Music (MIDI) in R using the fluidsynth package

A new package with bindings to libfluidsynth to read and synthesize midi files in R

Help make waywiser better! User requests wanted

The package waywiser maintained by Mike Mahoney provides ergonomic methods for assessing spatial models. Assessing predictive models of spatial data can be challenging, both because these models are typically built for extrapolating outside the original region represented by training data and due to potential spatially structured errors, with “hot spots” of higher than expected error clustered geographically due to spatial structure in the underlying data. The waywiser package tries to make it easier, providing methods for assessing models fit to spatial data, including approaches for measuring the spatial structure of model errors, assessing model predictions at multiple spatial scales, and evaluating where predictions can be made safely. Functions in waywiser are designed to be useful on their own, and additionally integrate naturally with the tidymodels framework....

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