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This list was originally published as part of the Computerworld Beginner's Guide to R but has since been expanded to also include resources for advanced beginner and intermediate users.
If you're just starting out with R, I recommend first heading to the Beginner's Guide. These websites, videos, blogs, social media/communities, software and books/ebooks can help you do more with R; my favorites are listed in bold. Resources for learning R. R Programming - Manuals. R Basics The R & BioConductor manual provides a general introduction to the usage of the R environment and its basic command syntax.
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Untitled. Using R for statistical analyses - Simple correlation. Correlation and Significance tests Getting a correlation coefficient is generally only half the story; you will want to know if the relationship is significant. The cor() function in R can be extended to provide the significance testing required. The function is cor.test() As above you need to read your data into R from a .CSV file and attach the factors so that they are all stored in memory.
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The Python Standard Library — Python v2.7.2 documentation. While The Python Language Reference describes the exact syntax and semantics of the Python language, this library reference manual describes the standard library that is distributed with Python. It also describes some of the optional components that are commonly included in Python distributions.
Python’s standard library is very extensive, offering a wide range of facilities as indicated by the long table of contents listed below. The Python Tutorial — Python v2.7.2 documentation. Tutorials. Ladies Learning Code.