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  5. R Language vs VBScript

R Language vs VBScript

OverviewComparisonAlternatives

Overview

R Language
R Language
Stacks3.9K
Followers1.9K
Votes418
VBScript
VBScript
Stacks52
Followers56
Votes0

R Language vs VBScript: What are the differences?

<Write Introduction here>
  1. Syntax: R Language uses a syntax that is more similar to mathematical formulas, making it easier for statisticians to understand and use, while VBScript uses a syntax that is similar to other Microsoft languages like Visual Basic, which is more user-friendly for programmers from a Microsoft background.
  2. Community Support: R Language has a larger community of statisticians and data scientists who contribute to its development and provide support, while VBScript has a smaller community, mainly focused on automation and scripting within Microsoft products.
  3. Data Manipulation: R Language is specifically designed for statistical analysis and data manipulation, providing a wide range of libraries and functions tailored for these tasks, whereas VBScript lacks specialized functions for statistical analysis and is more suited for general-purpose scripting.
  4. Platform Dependency: R Language is platform-independent, allowing users to run scripts on different operating systems, while VBScript is primarily used within Windows environments, limiting its cross-platform functionality.
  5. Integration with Tools: R Language integrates seamlessly with popular data analysis tools like RStudio and Jupyter Notebooks, enhancing the user experience, whereas VBScript is more commonly used with Microsoft tools like Excel and Access for automation tasks.
  6. Performance: R Language is known for its efficiency in handling large datasets and complex statistical computations, making it ideal for data analysis tasks, while VBScript may struggle with performance when dealing with extensive data processing requirements.
In Summary, R Language and VBScript differ in syntax, community support, data manipulation capabilities, platform dependency, integration with tools, and performance.

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Detailed Comparison

R Language
R Language
VBScript
VBScript

R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible.

It is an Active Scripting language developed by Microsoft that is modeled on Visual Basic. It allows Microsoft Windows system administrators to generate powerful tools for managing computers with error handling, subroutines, and other advanced programming constructs.

-
Typeless Variable Declaration; Runtime Execution; Similar Syntax to BASIC languages; Extensible through COM
Statistics
Stacks
3.9K
Stacks
52
Followers
1.9K
Followers
56
Votes
418
Votes
0
Pros & Cons
Pros
  • 86
    Data analysis
  • 64
    Graphics and data visualization
  • 55
    Free
  • 45
    Great community
  • 38
    Flexible statistical analysis toolkit
Cons
  • 6
    Very messy syntax
  • 4
    Tables must fit in RAM
  • 3
    Arrays indices start with 1
  • 2
    Messy syntax for string concatenation
  • 2
    No push command for vectors/lists
No community feedback yet
Integrations
No integrations available
Windows
Windows

What are some alternatives to R Language, VBScript?

JavaScript

JavaScript

JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles.

Python

Python

Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.

PHP

PHP

Fast, flexible and pragmatic, PHP powers everything from your blog to the most popular websites in the world.

Ruby

Ruby

Ruby is a language of careful balance. Its creator, Yukihiro “Matz” Matsumoto, blended parts of his favorite languages (Perl, Smalltalk, Eiffel, Ada, and Lisp) to form a new language that balanced functional programming with imperative programming.

Java

Java

Java is a programming language and computing platform first released by Sun Microsystems in 1995. There are lots of applications and websites that will not work unless you have Java installed, and more are created every day. Java is fast, secure, and reliable. From laptops to datacenters, game consoles to scientific supercomputers, cell phones to the Internet, Java is everywhere!

Golang

Golang

Go is expressive, concise, clean, and efficient. Its concurrency mechanisms make it easy to write programs that get the most out of multicore and networked machines, while its novel type system enables flexible and modular program construction. Go compiles quickly to machine code yet has the convenience of garbage collection and the power of run-time reflection. It's a fast, statically typed, compiled language that feels like a dynamically typed, interpreted language.

HTML5

HTML5

HTML5 is a core technology markup language of the Internet used for structuring and presenting content for the World Wide Web. As of October 2014 this is the final and complete fifth revision of the HTML standard of the World Wide Web Consortium (W3C). The previous version, HTML 4, was standardised in 1997.

C#

C#

C# (pronounced "See Sharp") is a simple, modern, object-oriented, and type-safe programming language. C# has its roots in the C family of languages and will be immediately familiar to C, C++, Java, and JavaScript programmers.

Scala

Scala

Scala is an acronym for “Scalable Language”. This means that Scala grows with you. You can play with it by typing one-line expressions and observing the results. But you can also rely on it for large mission critical systems, as many companies, including Twitter, LinkedIn, or Intel do. To some, Scala feels like a scripting language. Its syntax is concise and low ceremony; its types get out of the way because the compiler can infer them.

Elixir

Elixir

Elixir leverages the Erlang VM, known for running low-latency, distributed and fault-tolerant systems, while also being successfully used in web development and the embedded software domain.

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