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What Is R Programming Language?

R is a programming language. Also, it is a software environment for statistical statistics, data manipulation, and graphics description. Robert gentlemen and Ross Ihaka invented r language in August 1993 at Auckland university in New Zealand. And R is named from the first letters of the names of these two.

The R is an open-source language. And R programming language is freely available under the General Public License. The R language is widely used for statistics and data mining. The software environment in R is written in FORTRAN and C language. R language supports Linux, Windows, Mac, and almost all operating systems/platforms.

Uses Of R programming Language

Here are some uses of R programming language:

  • Data analysis and statistical modeling
  • Machine learning and predictive analytics
  • Geospatial analysis and mapping
  • Financial analysis and quantitative research
  • Natural language processing and text mining
  • Time series analysis and forecasting
  • Data visualization and graphical representation
  • Web scraping and data extraction
  • Bioinformatics and genomics analysis
  • Image processing and computer vision
  • Geospatial analysis and mapping

Let's take an Example of R programming: To Find Minimum or Maximum number?

Input

Numlist = c(21, 38, 91, 12, 87, 16)
print('Original vector:')
print(Numlist)
print(paste("The Maximum value is:",max(Numlist)))
print(paste("The Minimum value is:",min(Numlist)))

Output

[1] "Original vector:"
[1] 21 38 91 12 87 16
[1] "The Maximum value is: 91"
[1] "The Minimum value is:12"
[Program exited with exit code 0]

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Robust regression Logistic regression Ordinal logistic regression
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Censored and truncated regression Zero-inflated Poisson regression Zero-truncated Poisson
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Let's have a look at the R-studio window

R Programming Help

In this image, we have 4 panes or 4 windows. As mentioned, each of the windows shows you something about your work.

Pane 1:Programmer used to name it Script Window, in this, a programmer used to write code.

Pane 2:Console window, it Shows codes to be executed are written in this console window.

Pane 3: History pane, any cmd that you run can be shown in the history column.

Pane 4: It contains files, plots, packages, help, etc.

R programming language provides nearly 10,000 packages. You can install them from pane 4 easily.

R-Studio Assignment Types:

R-Studio assignments are classified into several types based on the topics. The following are some of the major topics covered in the R studio assignment help:

  • Simple linear regression is used to analyze large amounts of data
  • Multiple regression is used in big data and data analysis
  • Logistic regression is a data analytics technique
  • Cross-validation is used to improve model performance
  • Probability and statistics assignment

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    Ordered Logistic Regression Logistic Regression
    One-way ANOVA Multiple Linear Regression with interaction terms
    Factor analysis Robust Regression
    Two-way ANOVA Bayes Factors
    Linear Regression Correlation analysis
    Multiple Linear Regression Multinomial Logistic Regression

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