Table of contents
Comprehensive Statistical Analysis
R is specifically designed for statistical analysis and data visualization. It offers a wide array of statistical tests, models, and other quantitative techniques.
Extensive Package Ecosystem
The Comprehensive R Archive Network (CRAN) hosts thousands of packages, making it easy to extend the language’s capabilities with specialized tools and libraries.
Data Visualization
R excels at producing high-quality plots and charts through packages like ggplot2 and lattice, providing powerful tools for data visualization.
Strong Community Support
R has a large and active user community that contributes to forums, documentation, and packages, facilitating easier troubleshooting and knowledge sharing.
Open Source
R is open-source, meaning it is free to use and has a high level of transparency. Users can inspect, modify, and enhance the source code.
Yes, R is a good choice, especially for those who need to perform complex statistical analyses and create high-quality visualizations. Its extensive ecosystem of packages and support for a variety of data formats make it a versatile tool in data science.
We have collected here some useful links to help you find out if R Lang is good.
Check the traffic stats of R Lang on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of R Lang on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of R Lang's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of R Lang on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about R Lang on Reddit. This can help you find out how popualr the product is and what people think about it.
Generating a website for your R package is always a great idea. If the package is based on some paper, it will help it get noticed and eventually used. And once you have a website, it's just as well to include a reference manual for the package in it, that complements or is a bit more updated than the one published in CRAN. Or simply in another format. - Source: dev.to / over 1 year ago
This package is definitely related to R language) (see package URL, it points to r-project.org subdomain). Source: about 3 years ago
Common misconception. Actually it's a Fibonacci sequence, so the next one is https://rrrrr-project.org. This does also mean that there's https://-project.org, and that https://r-project.org secretly disambiguates into two different projects. - Source: Hacker News / over 3 years ago
We already have https://r-project.org. Now we have https://rr-project.org. So, https://rrr-project.org is next? - Source: Hacker News / over 3 years ago
Thank you, but unfortunately, the archive I'm talking about is the archive of old package versions, which seems to only be available through r-project.org. Source: over 3 years ago
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Is R Lang good? This is an informative page that will help you find out. Moreover, you can review and discuss R Lang here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.
