Reference no: EM132567546

Assignment: Make Sure No Plagiarism

R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R.

Why are statistical programming languages important to data scientists? What are some advantages and disadvantages the R programming language has over the other main statistical programming languages (i.e. Python, SAS, SQL)?

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You must do the following:

1) Create a new thread to write your initial response to the discussion prompt.

2) Select AT LEAST 2 other students' threads and post substantive comments on those threads. Your comments should extend the conversation started with the thread and explain why you agreed or disagreed with their evaluation of the different statistical programming languages.

3) Provide a thoughtful research-based response and include references to support your thoughts

4) Exclude attachments and cover page in your submission. Type your response in the message box. When responding to your peer, address your peer by name.

5) ALL original posts ( two to three paragraphs supported by resources) and comments must be substantive. (I'm looking for about a paragraph - not just "I agree.")6) Paraphrase text from resources used and cite. If quoting text, use double-quotes and cite.