Overview: how to write your first R package
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This blog post provides a brief overview of the key steps involved in creating, documenting, and publishing your first R package.
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This blog post provides a brief overview of the key steps involved in creating, documenting, and publishing your first R package.
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Recently, I enrolled in an online course and stumbled upon swirl, a package for learning R, in R. I think that this is a great tool and an excellent way for beginners to learn R. I quickly fall in love with it. I believe there’s something for everyone on swirl, whether you’re a complete beginner or an experienced R user looking to expand skills. Thus, in this blog post, I’d like to share some of the courses in swirl that I found helpful. More information about swirl can be found in this link.
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After updating several packages, I came across this error message in Rstudio. The error message read as follows:
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Welcome to this continuously updated blog post where I’ll be sharing R tips and tricks that I find helpful while coding. These range from simple one-liners to more complex functions that can save you time and effort. Some of the examples below may be too specific and not useful to you, while others are general R tips. I’m always interested in finding efficient solutions to complex problems and simplifying my code.
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I came across two error messages while using the $\bf{rstan}$ package in Rstudio. The error messages read as follows: