![]() ![]() Statistical analysis and data analytics in RĬompared to any other commercial or open source tool, R has the highest number of libraries implementing statistical algorithms that cover the entire span of statistics. formatted reading/wrting is allowed for data with complex formats.Data can be read as character, strings or lines from files.The R data frames can be written into tables in many file formats.Once the table data is read, we can perform operations like row/column filtering, filter table by condition on row elements, append and merge tables, and many many operations on columns.Tabled data can be read into R as a data frame from various file formats like excel, csv and text files.R provides excellent environment for data manipulation and analysis. Internal libraries and packages for specific tasks.User defined functions that can take any data object of R as argument and return an appropriate object.Logical loops such as for loop, while loop, if-else statements and more.Matrices supported by very efficient library functions to perform computations like matrix multiplication, trace, eigen vevtors, eigen values etc.List to store assortment of data types that can be writen to and read from binary files.Data frame to load the excel type tables supported by functions to sort, merge, add, filter and many more operations.Vector to handle an array of objects supported by library functions for operations like sorting, filtering, growing, merging and statistical computations.String operations supported by string manipulation functions.Basic data types like numbers, characters and boolean values.R has a programming environment that provides almost all the features of a higher language like C. We will list the essential features of R under specific titles: R is also a programming environment in which one can develope very sophisticated programs and pipelines for complex analysis. The core of R is written in higher languages like C and Fortran. We can download R from R home page for installing in various operating systems like Linux, Windows and MAC. It is a free software distributed under the terms of the "GNU General Public License" of the "Free software foundation" in source code form. R was created by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand, and is currently developed by the R Development Core Team. R is a software environment for statistical analysis, graphics and data handling. ![]()
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