What is an R studio or R programming language?
It is an open-source programming language that is free software available for graphical and statistical computing. It was developed by Ross Ihaka and Robert Gentlemen for data analysis and statistical computations. R is one of the best programming languages for performing the statistical techniques regression model, time-series analysis, classical statistical tests, data mining, clustering, etc.
Sub-topics of R studio assignments include:
- Simple Linear Regression
- Non-parametric statistics
- Zero-truncated Poisson
- Logistic regression
- Bayesian statistics
- Robust-regression
- Multiple regression
- Exploratory Data Analysis (EDA)
- Zero-inflated Poisson regression
Key-topics of R studio assignments include:
Mapping - It is one of the major tasks of the R programming language. It is used in geographical information systems for plotting data on maps.
Graphics - In the R programming language, graphics have been used for data visualization. Thus, it is mostly being used over tables in R programming.
T-test statistics - It is the most popular test in statistics. It has been used to compare two data sets for finding the actual difference between them.
SQL - It is one of the best platforms for data management. With SQL, basic calculations on data can be performed easily. It plays an important role in data analysis and data visualization.
R packages - They are responsible to perform almost everything in R. These packages carry the code and the various functions. One can share their code in the form of R packages with the other programmers. R library keeps all the data and stores these packages. The packages help in performing statistics operations, data representation, plotting, and even machine learning. There is also a special package in the R programming language that helps in performing almost every statistics function.
R studio - It is the most crucial part of the R programming language. It helps in developing the R program in the command interpreter.
Advantages of R programming language:
- It is flexible in the field of statistics and can be used in biology, statistics as well as in genetics.
- It is a vector programming language that enables the users to add functions into a single vector without inserting in a loop.
- It is quite affordable and hence, provides the best option for businesses. Although, it is a great language for visualization
- It allows the users to perform the virtual statistical computation to provide error-free content and for saving time.
- It offers the most efficient storage and data handling facility.
- It does not require any compiler to run the program.
- It allows the users to perform multiple calculations along with complex operations by just using a single command.
- R programming languages can be run on various operating systems like Windows, LINUX, Macros, and UNIX.
- It supports arrays, data frames, matrix arithmetic, and lists.
Disadvantages of R programming language:
- The quality of some packages can be less than perfect in the R programming language.
- If something does not work in the R programming language, there is nobody to complain.
- It expends all accessible memory.