R is an open-source programming language that is used as statistical software. It is used for the purpose of data analysis also. It generally comes with a Command-line interface and is available on all types of operating systems.
It’s stable release was in the year 2000 and now is maintained by R development core team.
R programming language has a vast community, gets easily integrated with other languages and is patform independent.
Now, let’s dive deep into the roadmap of R.
Step1:
Begin with its installation on your PC. Learn its basic syntax, data types, variables, and constants.
Step2:
Once you are done with everything mentioned above. Start learning about operators, decision making statements, functions, and loops.
Step3:
Understand the concepts of vectors, strings, lists, arrays, and matrices.
Step4:
Move to some more important topics. Learn about factors, packages, data frames, and data reshaping.
Step5:
We are halfway done with R now. Learn about handling CSV files, Excel files, Binary files, XML files, and JSON files.
Step6:
Understand the concept of web data and databases.
Step7:
Today’s actions are tomorrow’s results. Understand charts and graphs. Learn pie charts, bar charts, line charts, box plots, histograms, and scatterplots.
Step8:
R is a language used for statistics and mathematical operations. Learn about mean, median, & mode, linear regression, multiple regression, logistic regression, poisson regression, normal distribution, and binomial distribution.
Step9:
Understand analysis of covariance, time series analysis, and survival analysis.
Step10:
Learn Nonlinear least square, decision tree, random forest, and chi test square.
Step11:
Yahoo! We just completed our roadmap with R. Keep practising regularly to get a better grasp at it.
