Does anybody here use R language?

  • Thread starter ChrisLeslie
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In summary, "R" is a programming language used for statistics and graphing, based on S-plus. It is similar to MATLAB but with a greater emphasis on statistics analysis. R has its own programming language, offers better graphics capabilities and is free. While its user interface may not be as good as MATLAB, it is still a valuable tool for those working with statistics and data analysis. The learning curve may be steeper, but R has a rich library of functions and a strong community with various third party resources available. R is also free and available on multiple platforms. Overall, for those in the scientific field, learning R can be a valuable investment as it often implements new techniques before traditional statistics packages.
  • #1
ChrisLeslie
I am required to learn and use a language called "R" for statistics and graphing. It is based on S-plus. Does anyone have any experience using it, what do you think of it, and how does it compare with Matlab?

Regards

Chris
 
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  • #2
I have used it, it is similar to MATLAB in many ways, with the many difference being the emphasis on statistics analysis as opposed to matrices.

R includes its own programming language, and I think it does a better job at graphics then MATLAB, plus its free. The user interface is not as good as MATLAB, but its fine.
 
  • #3
If you're doing a lot of statistics and data analysis work, R would be a good thing to have under your belt. There's a rich library of statistical and graphing functions and a bunch of cool third party stuff out there as well. There's a bit of a learning curve to climb, but it's not too bad.

R also has the added benefit of being free with binary distributions available for most platforms, including Windows.

The R Newsletters are worth checking out and will give you an idea of the kinds of things people are doing with R and what it's capable of.

Main R page
http://wiki.r-project.org/rwiki/doku.php
http://addictedtor.free.fr/graphiques/
 
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  • #4
R is certainly a useful skill to have if in the scientific field. The learning curve is steeper than traditional statistics packages such as SAS and SPSS. But it can be worth the investment. And the new techniques are commonly implemented first in R.

Jack Dagg
 

1. What is R language and what is it used for?

R language is a powerful programming language and environment used for statistical computing and graphics. It is widely used in data analysis, data mining, and machine learning. It provides a wide variety of statistical and graphical techniques, making it a popular choice for researchers, data scientists, and statisticians.

2. Is R language difficult to learn?

Like any programming language, there is a learning curve with R language. However, it is considered to be relatively easy to learn, especially for those with a background in statistics or programming. There are also many online resources and tutorials available to help beginners get started with R.

3. Can R language be used for data visualization?

Yes, R language has a wide range of tools and packages for creating visualizations and charts. It has advanced graphics capabilities, making it a popular choice for creating data visualizations for presentations, reports, and publications.

4. Is R language free to use?

Yes, R language is an open-source software, which means it is completely free to use and distribute. This is one of the reasons for its popularity among researchers and data analysts.

5. What are the advantages of using R language over other statistical software?

R language has a large and active community of users, which means there is a vast amount of support and resources available. It also has a wide range of statistical functions and packages, making it a versatile tool for data analysis. Additionally, its open-source nature allows for customization and flexibility in data analysis.

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