### How do you cite a language and environment for statistical computing?

## How do you cite a language and environment for statistical computing?

To cite R in publications use: R Core Team (2020). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/.

**What is a language and environment for statistical computing and graphics?**

R is a system for statistical computation and graphics. It consists of a language plus a. run-time environment with graphics, a debugger, access to certain system functions, and. the ability to run programs stored in script files. It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS.

**What is R Foundation for statistical computing?**

R is a programming language and free software environment for statistical computing and graphics supported by the R Core Team and the R Foundation for Statistical Computing. It is widely used among statisticians and data miners for developing statistical software and data analysis.

### Is a language and environment for statistical computing and graphics?

R is a language and environment for statistical computing and graphics. R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, …) and graphical techniques, and is highly extensible.

**Should I cite R or RStudio?**

RStudio has a collection of developers who have made your work possible. Cite them. R is a language so it is, perhaps, less important to cite it. But if it has features that are important to your work, cite it.

**Why is R better than Python?**

R is mainly used for statistical analysis while Python provides a more general approach to data science. R and Python are state of the art in terms of programming language oriented towards data science. Learning both of them is, of course, the ideal solution. Python is a general-purpose language with a readable syntax.

## Is R and Ruby same?

Like Java is not equal to JavaScript, similarly, R is not Ruby. Ruby is a dynamic, interpreted, Object Oriented and general purpose programing language. To learn more about Ruby head to their official website. R, on the other hand, is a specialized language for domains such as statistics and data mining.

**Is R used in industry?**

Data Science is most widely used in the financial industry. R is the most popular tool for this role. This is because R provides an advanced statistical suite that is able to carry out all the necessary financial tasks. R is being widely used for credit risk analysis at firms like ANZ and portfolio management.

**Should I cite all R packages?**

What should I cite? Ideally, you should indeed cite all the packages that you used. However, it’s not very diegetic. Cite the main / important packages in the manuscript.

### Do I need to cite R?

Citing R and its packages allows people to evaluate the reproducilibity of your analysis and results. We need to recognise and give credit for the work of others. R is a collaborative open source project with many contributors and citing R and its packages supports the development of such fantastic and free tools.

**Should I learn R or Python first?**

If you’re passionate about the statistical calculation and data visualization portions of data analysis, R could be a good fit for you. If, on the other hand, you’re interested in becoming a data scientist and working with big data, artificial intelligence, and deep learning algorithms, Python would be the better fit.

**Can Python do everything R can?**

When it comes to data analysis and data science, most things that you can do in R can also be done in Python, and vice versa. Usually, new data science algorithms are implemented in both languages. But performance, syntax, and implementations may differ between the two languages for certain algorithms.

How do you cite a language and environment for statistical computing? To cite R in publications use: R Core Team (2020). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/. What is a language and environment for statistical computing and graphics? R is a system for statistical…