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Updates to {healthyR.data}

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Introduction

Introducing the Updated {healthyR.data} Package: Your Ultimate Health Data Companion

If you’re a healthcare professional or a data enthusiast, you’re probably familiar with the healthyR.data package. This R package has been an invaluable resource for accessing and analyzing public health data. With its latest release, version 1.0.3, the package has undergone some significant changes, including the addition of several new functions and a requirement for R version 3.4.0. In this post, we’ll take a closer look at the updates and how they can help you work with health data more efficiently.

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Breaking Changes

In keeping with tidyverse practices, healthyR.data now requires R version 3.4.0. This change may affect some users who haven’t updated their R version recently, but it’s an important step to keep the package up-to-date and compatible with other tidyverse packages.

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New Functions

One of the main highlights of the new version is the addition of several new functions. Let’s take a look at each one and how it can help you work with health data:

All of these functions provide valuable access to important health data, allowing users to perform detailed analyses and gain insights into various aspects of healthcare quality and outcomes.

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Other Improvements

In addition to the new functions, healthyR.data version 1.0.3 also includes several bug fixes and improvements. For example, the logic in the current_hosp_data() function has been confirmed by user feedback.

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Conclusion

The healthyR.data package has long been a valuable resource for anyone working with health data. With the latest release, version 1.0.3, the package has become even more powerful and versatile, thanks to the addition of many new functions and improvements. If you’re a healthcare professional, researcher, or data enthusiast, healthyR.data is a must-have tool in your arsenal. Give it a try and see how it can help you gain new insights into the world of healthcare quality and outcomes.

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