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What is the difference between Matlab and R?
I have a lot of experience in Matlab, but I would like to know what the best tool is for data analysis.
For example, I have a matrix with two columns that stores some variables.
I need to make a clustering based on these variables. What is the best tool for that?
I prefer to use R.
The only reason I know of that R and Matlab are "competitors" is because they are both programming languages, and you ask "what is the best tool for data analysis". In other words, you have defined R as the data analysis tool (based on the fact that R was initially an acronym for "Research", which is exactly what you would want to use for data analysis).
However, in reality R and Matlab are different tools with different goals and uses. R is a general purpose programming language. Matlab is a more specialized tool with a focus on statistics and engineering. If you are looking for a general purpose tool, you can use R. If you are looking for a tool with a narrower focus, use Matlab.
Both R and Matlab are equally good for data analysis, the only difference is in the area of focus.
It sounds like you are most familiar with Matlab, so that is the language that you are most familiar with. However, I would suggest that the "most" tool for data analysis is a general purpose programming language, and R and Matlab are the most popular general purpose programming languages.
I think R has many advantages over Matlab:
It is open source and free.
It allows you to use C++ and Fortran (or other languages) within R.
It can be used on Windows and Linux.
It is usually much faster than Matlab.
It is not tied to a particular platform (it can run on a variety of different OS's and systems). 0b46394aab