The analysis of data requires a detailed understanding of sp

The analysis of data requires a detailed understanding of specific characteristics and capabilities of the programming language/model. What are some of the benefits of using the R programming language for statistical analysis? What are some of the fields in which R is commonly used for analysis?

Solution

R is the very comprehensive statistical analysis package which is availiable opensource and free

.It combinr all of the standard statistical tests, models, and analyses, as well as providing a proper language for managing and calculating and manipulating data.

All the statistical algo package avalibale in R. They are ready to use. You can run on sample data anytime and can do poc very quickly.

Any new technolgy and idea come in R frist.

R is a programming language and packages for statistical analysis by practising statisticians and researchers

R is now maintained by a core team of many developers, including some very senior statisticians.

The graphical capabilities of R are outstanding, providing a fully programmable graphics language that surpasses most other statistical and graphical packages

Few Package which can be usefull for analysis

ggplot2:igraph: lme4: MASS:mice:mlogit:MNP: so many other also availaible

R builds in data analysis functionality by defaul