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R is an environment and programming language used for graphics and statistical computing. It was researched and developed at Bell laboratories. The S language is the preferred language for in depth research in statistical methodologies and R can be seen as the diverse implementation of S. There are some significant differences but most of the codes written in S language can run on R without any difficulty. R can be used for wide variety of statistical areas such as traditional statistical tests, time series analysis, techniques used for representing the data in forms of graphs and charts, clustering and classification of data. There are a number of advantages of using R language as it is extensible and uses open source coding. With the help of R we can make plots which are of professional quality and it is very convenient to add mathematical symbols wherever they are required. The design choices for graphics have been carefully designed and user has complete control over these functionalities. A wide variety of intelligible tools and utilities are available for reliable and accurate data analysis. All the functions of programming are also available here like conditional statement, looping and breaking down of programs into reusable modules.
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R Programming Problems