R Software and Its Application in Statistical Science (Vector and Matrix Part I)

Document Type : Software

Author

M.Sc. Animal Breeding and Genetics, Department of Animal Science, College of Agriculture and Natural Resources at University of Tehran

Abstract

R is an object-oriented mathematical programming language much like S-plus (the famous statistical software package) and designed for statistical computing. The S statistical language was developed by Charles and his colleagues at Bell Laboratory in 1960 for statistical programming for data analysis and advanced modeling. Nowadays, with the increasing spread of the science of statistics and its applications in other sciences, the necessity of acquaintance with the statistical software used for data analysis as well as the development of new statistical methods is becoming more and more understood.in recent years, R software has gained considerable popularity among researchers and scholars worldwide. Numerous books and articles, training seminars at prestigious universities around the world, and various websites have been created solely to develop and train this software this study introduces the types of data structures in R, vectors, matrices, and generalizations about matrix operations and how mathematical calculations are performed between them using R programming software.

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References

Crawley, M.J., 2012. The R book. John Wiley & Sons.
Jones, O., Maillardet, R. and Robinson, A., 2014. Introduction to Scientific Programming and Simulation Using R. Chapman and Hall/CRC.
Kuhnert, P., Venables, B. and Zocchi, S.S., 2005. An introduction to R: Software for Statistical Modelling & Computing. USP/ESALQ/LCE.
Ng, H.T., 2006. Statistics: An Introduction Using R
Seefeld, K. and Linder, E., 2007. Statistics using R with biological examples. Durham: University of New Hampshire.
Verzani, J., 2018. Using R for Introductory Statistics. Chapman and Hall/CRC.

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