Java VS R Lang

Compare Java VS R Lang and see what are their differences

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Java

A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible

R Lang

R is a free software environment for statistical computing and graphics.

Landing page //
2018-09-30

We recommend LibHunt Java for discovery and comparisons of trending Java projects.

Landing page //
2019-10-24

Java features and specs

Platform Independence
Java is known for its portability across multiple platforms via the Java Virtual Machine (JVM). This means you can write code once and run it anywhere.
Large Standard Library
Java boasts a comprehensive standard library, which facilitates development by providing pre-built solutions for a wide array of programming tasks.
Robust and Secure
Java emphasizes strong memory management and has built-in security features, making it a reliable choice for applications requiring high levels of security.
Community Support
With a vast and active community, ample resources are available for learning and troubleshooting. Numerous libraries and frameworks are available due to its long-standing presence.
Performance
Modern Java versions offer performance that is generally very good for many applications, particularly server-side applications where the Just-In-Time (JIT) compiler can significantly optimize runtime performance.

Possible disadvantages of Java

Verbosity
Java's syntax can be verbose compared to newer languages, requiring more lines of code to accomplish the same tasks, which may reduce readability.
Memory Consumption
Java applications can be memory-intensive due to their reliance on the JVM, which can be a downside for resource-constrained environments.
Performance Overhead
Despite its generally good performance, Java's reliance on the JVM introduces some overhead compared to languages that compile to native machine code, such as C++.
No Low-Level Programming
Java abstracts away from the hardware, making it less suitable for low-level programming tasks that require direct hardware manipulation, such as embedded systems programming.
Slow Startup Time
Java applications can have slower startup times due to the overhead of JVM initialization, which can be a drawback for desktop applications or command-line tools that are frequently started and stopped.

R Lang features and specs

Comprehensive Statistical Analysis
R is specifically designed for statistical analysis and data visualization. It offers a wide array of statistical tests, models, and other quantitative techniques.
Extensive Package Ecosystem
The Comprehensive R Archive Network (CRAN) hosts thousands of packages, making it easy to extend the language’s capabilities with specialized tools and libraries.
Data Visualization
R excels at producing high-quality plots and charts through packages like ggplot2 and lattice, providing powerful tools for data visualization.
Strong Community Support
R has a large and active user community that contributes to forums, documentation, and packages, facilitating easier troubleshooting and knowledge sharing.
Open Source
R is open-source, meaning it is free to use and has a high level of transparency. Users can inspect, modify, and enhance the source code.

Possible disadvantages of R Lang

Memory Consumption
R can consume a significant amount of memory, particularly with large datasets, which can lead to performance issues.
Learning Curve
R has a steep learning curve for beginners, especially for those without a strong background in statistics or programming.
Speed
R is interpreted and can be slower than compiled languages like C++ or Java, especially for computationally-intensive tasks.
Less Optimal for General-Purpose Programming
Although R excels at statistical computing, it is less suited for general-purpose programming tasks compared to languages like Python or Java.
Inconsistent Function Names and Syntax
Because R's packages are often developed independently, there can be inconsistencies in function names and syntax, making it harder for users to seamlessly work across different packages.

Java videos

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AP Computer Science in 10 Minutes (Java review)

R Lang videos

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Category Popularity

0-100% (relative to Java and R Lang)

R Lang

Programming Language

87 87%

Programming Language

13% 13

Technical Computing

0 0%

Technical Computing

100% 100

OOP

100 100%

OOP

0% 0

Business & Commerce

0 0%

Business & Commerce

100% 100

User comments

Share your experience with using Java and R Lang. For example, how are they different and which one is better?

Reviews

These are some of the external sources and on-site user reviews we've used to compare Java and R Lang

Java Reviews

The 10 Best Programming Languages to Learn Today

If you want to build your career in IoT or big data, Java is arguably the best programming language to learn. Java is cross-platform compatible and offers portability and versatility to almost any type of device, making it ideal for IoT applications. The Apache Hadoop big data processing system is also written in Java.

Source: ict.gov.ge

Alternatives to Nmap: from simple to advanced network scanning

This tool can provide favorite IP address ranges, NetBIOS information and web server detection. More features can be added by installing Java plugins.

Source: www.networkworld.com

R Lang Reviews

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Social recommendations and mentions

Java might be a bit more popular than R Lang. We know about 7 links to it since March 2021 and only 5 links to R Lang. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Java mentions (7)

Can someone help with port forwarding?
You can use UPnP PortMapper. Source code/Download. All you need is Java and that's it. Hope this helps. Source: about 3 years ago
PolyGlot 3.5 Release
I would definitely suggest installing Java for this one, and the error should have asked you to do so. I'll have to look into why that was not popping properly for you and address it in a bug fix. In the mean time, you can address the issue by going here to install Java: https://java.com/en/. Source: over 3 years ago
i need help pls
Https://java.com/en/ Is this the java you're using to install optifine. When I first got optifine I thought java meant Minecraft and not java. Source: over 3 years ago
I keep getting this error when I try to install Worldpainter
I had this problem before just go to https://java.com/en/ and download the java then you will have to install the actual java, then after its installed go to This PC then Windows then Program Files then Java then go to the file name file name that show I think when you downloaded it then go into bin and you will find a java.exe file then click it and World Painter will install and that's who I solved king problem... Source: almost 4 years ago
What to do immediately with a brand new build?
Java, Adobe Reader, Handbrake (great for converting and adjusting videos). Source: almost 4 years ago

R Lang mentions (5)

How to generate a great website and reference manual for your R package
Generating a website for your R package is always a great idea. If the package is based on some paper, it will help it get noticed and eventually used. And once you have a website, it's just as well to include a reference manual for the package in it, that complements or is a bit more updated than the one published in CRAN. Or simply in another format. - Source: dev.to / about 1 year ago
R
This package is definitely related to R language) (see package URL, it points to r-project.org subdomain). Source: over 2 years ago
Rr
Common misconception. Actually it's a Fibonacci sequence, so the next one is https://rrrrr-project.org. This does also mean that there's https://-project.org, and that https://r-project.org secretly disambiguates into two different projects. - Source: Hacker News / almost 3 years ago
Rr
We already have https://r-project.org. Now we have https://rr-project.org. So, https://rrr-project.org is next? - Source: Hacker News / almost 3 years ago
r-project.org is down?
Thank you, but unfortunately, the archive I'm talking about is the archive of old package versions, which seems to only be available through r-project.org. Source: almost 3 years ago