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https://www.r-project.org › about.html
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
https://cran.r-project.org › doc › manuals › r-release › R-intro.pdf
Our introduction to the R environment did not mention statistics yet many people use R as a statistics system We prefer to think of it of an environment within which many classical and modern statistical
https://cran.r-project.org › web › packages › HSAUR › vignettes …
R is most widely used for teaching undergraduate and graduate statistics classes at universities all over the world because students can freely use the statistical computing tools The base distribution of R
https://cran.r-project.org
R is GNU S a freely available language and environment for statistical computing and graphics which provides a wide variety of statistical and graphical techniques linear and nonlinear
https://cran.r-project.org › doc › manuals › r-release › R-intro.html
This is an introduction to R GNU S a language and environment for statistical computing and graphics R is similar to the award winning 1 S system which was developed at Bell Laboratories by
https://cran.r-project.org › bin › windows › base
Please see the R FAQ for general information about R and the R Windows FAQ for Windows specific information
https://cran.r-project.org › doc › contrib › Verzani-SimpleR.pdf
Statistics is the study of data After learning how to start R the rst thing we need to be able to do is learn how to enter data into R and how to manipulate the data once there
https://cran.r-project.org › web › packages › vtable › vignettes › sumtable.html
By default sumtable will include in the summary statistics table every variable in the data set that is 1 numeric 2 factor 3 logical or 4 a character variable with six or fewer unique
http://ipsur.r-forge.r-project.org › book › download › IPSUR.pdf
Statistics concerns data their collection analysis and interpretation In this book we distin guish between two types of statistics descriptive and inferential
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