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Programming in R

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Abstract R programming is now a major resource for statistical analysis, research, and teaching and has an impressive suite of applications and packages. In this article, we introduce the basic features of the language including data entry, data description, graphical procedures, writing simple programs, and simulation. It is not the intention to provide an exhaustive list of features of the language, just enough to give a flavor of the structure of R, and how to get help to proceed further. WIREs Comp Stat 2012, 4:75–84. doi: 10.1002/wics.183 This article is categorized under: Software for Computational Statistics > Software/Statistical Software

A histogram.

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Queue lengths.

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Plots of four data sets with same means and standard deviations.

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Use of the pairs function.

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The line of best fit.

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A scatter plot.

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Boxplots of all the variables in the data frame.

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Boxplot of y1 and y2.

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A simple boxplot.

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Software for Computational Statistics > Software/Statistical Software

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