R Programming in Statistics
déc. 2022 · Otolaryngology online
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À propos de cet e-book
Every professional needs to perform statistical analysis in some form of the other. In order to perform this task various software tools are available. Majority of them are paid software. R programming which is an open source tool can be used to perform statistical analysis. Since it is an open source tool many front end GUI’s are available to make the job easier for the user. In this book the most popular GUI RStudio is used. RStudio is a most powerful GUI front end for R programming which has been designed to use all the features of this language with ease. This book has been authored with a novice user in mind. Various steps in statistical analysis have been explained in detail using a large number of screenshots. Codes used have been clearly illustrated. The book has been structured in such a manner to ensure that basic concepts have been clearly explained with the help of screenshots before taking on challenging analytical problems. Towards the end of the book the reader is provided with an additional resource which gives out all the codes used in this book as well as those additional ones that have not found their place in the book. Learning R coding is not difficult provided the reader spends time practicing the same. The reader is encouraged to execute all the codes provided in the R_code manual which has been provided at the end of the book. R programming can be compared to that of SPSS (the popular statistical analytical tool) as far as its ability to perform statistical analysis. One tip the author wishes to provide to the reader who is attempting to make data entry within the RStudio environment. It is always better to import data into RStudio for performing data analysis. Data can be imported from Excel , google spread sheets etc. The reader is encouraged to download the install the software and libraries that have been described in the book and to try them out. Advantages of R Programming : 1. It is a powerful statistical tool 2. It is open source and hence it is free 3. It is an excellent tool that can be used to perform visual analysis of a dataset. It can created different types of charts and graphs, thereby facilitating accurate analysis of data
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À propos de l'auteur
Prof Dr Balasubramanian Thiagarajan is a practicing otolaryngologist Former professor and head Department of otolaryngology Government Stanley Medical College Chennai Former Registrar The Tamilnadu Dr MGR Medical Univeristy Guindy Chennai. Currently Dean Sri Lalithambigai Medical College Maduravoil Chennai
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