https://mklab.gr/ Wed, 29 Jul 2026 08:23:15 +0000 MyBB https://mklab.gr/showthread.php?tid=578 Mon, 22 Jun 2026 12:11:07 +0300 mklabgr]]> https://mklab.gr/showthread.php?tid=578 [font='Source Serif 4-4a4455f0c0723aad', 'Source Serif 4-4a4455f0c0723aad fallback: Arial', sans-serif, serif, Georgia, serif]R (programming language)[/font]

[font='Source Serif 4-4a4455f0c0723aad', 'Source Serif 4-4a4455f0c0723aad fallback: Arial', sans-serif, serif, Georgia, serif]Summary[/font]

[font='Source Serif 4-4a4455f0c0723aad', 'Source Serif 4-4a4455f0c0723aad fallback: Arial', sans-serif, serif, Georgia, serif]R is a free, open-source programming language and software environment designed mainly for statistical computing, data analysis, and visualization. Created in 1993 by Ross Ihaka and Robert Gentleman at the University of Auckland, it was inspired by the S programming language and has become a major tool in fields such as data science, bioinformatics, machine learning, and research. [/font]
[font='Source Serif 4-4a4455f0c0723aad', 'Source Serif 4-4a4455f0c0723aad fallback: Arial', sans-serif, serif, Georgia, serif]R supports multiple programming styles, including procedural, object-oriented, and functional programming, and its capabilities are greatly expanded through thousands of packages, especially the widely used tidyverse collection for data manipulation, modeling, and graphics. It runs on major platforms such as Windows, macOS, and Linux, offers powerful statistical and graphical tools, and integrates with environments like RStudio and Jupyter, making it one of the most popular languages for scientific data analysis. [/font]

[font='Source Serif 4-4a4455f0c0723aad', 'Source Serif 4-4a4455f0c0723aad fallback: Arial', sans-serif, serif, Georgia, serif]R HOME [/font]]]> [font='Source Serif 4-4a4455f0c0723aad', 'Source Serif 4-4a4455f0c0723aad fallback: Arial', sans-serif, serif, Georgia, serif]R (programming language)[/font]

[font='Source Serif 4-4a4455f0c0723aad', 'Source Serif 4-4a4455f0c0723aad fallback: Arial', sans-serif, serif, Georgia, serif]Summary[/font]

[font='Source Serif 4-4a4455f0c0723aad', 'Source Serif 4-4a4455f0c0723aad fallback: Arial', sans-serif, serif, Georgia, serif]R is a free, open-source programming language and software environment designed mainly for statistical computing, data analysis, and visualization. Created in 1993 by Ross Ihaka and Robert Gentleman at the University of Auckland, it was inspired by the S programming language and has become a major tool in fields such as data science, bioinformatics, machine learning, and research. [/font]
[font='Source Serif 4-4a4455f0c0723aad', 'Source Serif 4-4a4455f0c0723aad fallback: Arial', sans-serif, serif, Georgia, serif]R supports multiple programming styles, including procedural, object-oriented, and functional programming, and its capabilities are greatly expanded through thousands of packages, especially the widely used tidyverse collection for data manipulation, modeling, and graphics. It runs on major platforms such as Windows, macOS, and Linux, offers powerful statistical and graphical tools, and integrates with environments like RStudio and Jupyter, making it one of the most popular languages for scientific data analysis. [/font]

[font='Source Serif 4-4a4455f0c0723aad', 'Source Serif 4-4a4455f0c0723aad fallback: Arial', sans-serif, serif, Georgia, serif]R HOME [/font]]]> https://mklab.gr/showthread.php?tid=577 Mon, 22 Jun 2026 12:08:04 +0300 mklabgr]]> https://mklab.gr/showthread.php?tid=577 GNU PSPP is a free, open-source software application used for the statistical analysis of sampled data. Designed as a libre alternative to IBM SPSS Statistics, it supports over one billion cases and variables while offering seamless compatibility with SPSS syntax and files.

SOFTWARE]]> GNU PSPP is a free, open-source software application used for the statistical analysis of sampled data. Designed as a libre alternative to IBM SPSS Statistics, it supports over one billion cases and variables while offering seamless compatibility with SPSS syntax and files.

SOFTWARE]]> https://mklab.gr/showthread.php?tid=565 Mon, 22 Jun 2026 10:50:31 +0300 mklabgr]]> https://mklab.gr/showthread.php?tid=565 Labplot [Microsoft]

LabPlot is a free, open-source data visualization and analysis software for Windows that allows users to create high-quality 2D and 3D plots. It provides a robust alternative to commercial tools like Origin or SPSS.

SOFTWARE PAGE]]> Labplot [Microsoft]

LabPlot is a free, open-source data visualization and analysis software for Windows that allows users to create high-quality 2D and 3D plots. It provides a robust alternative to commercial tools like Origin or SPSS.

SOFTWARE PAGE]]> https://mklab.gr/showthread.php?tid=554 Mon, 22 Jun 2026 06:44:16 +0300 mklabgr]]> https://mklab.gr/showthread.php?tid=554 JAMOVI

Summary

jamovi is a free and open-source statistical analysis program designed to make data analysis simple and accessible, offering a spreadsheet-style interface similar to commercial tools such as SPSS while being built on top of the powerful R statistical language.
 It allows users to perform common statistical procedures such as t-tests, ANOVA, regression, correlation, factor analysis, and reliability analysis through an easy point-and-click environment, while also providing access to the underlying R code for learning and reproducibility. 
Available as both desktop and cloud versions, jamovi is widely used in education, research, and data analysis because it combines the simplicity needed by beginners with the flexibility of a professional statistical platform. 

SOFTWARE PAGE]]> JAMOVI

Summary

jamovi is a free and open-source statistical analysis program designed to make data analysis simple and accessible, offering a spreadsheet-style interface similar to commercial tools such as SPSS while being built on top of the powerful R statistical language.
 It allows users to perform common statistical procedures such as t-tests, ANOVA, regression, correlation, factor analysis, and reliability analysis through an easy point-and-click environment, while also providing access to the underlying R code for learning and reproducibility. 
Available as both desktop and cloud versions, jamovi is widely used in education, research, and data analysis because it combines the simplicity needed by beginners with the flexibility of a professional statistical platform. 

SOFTWARE PAGE]]> https://mklab.gr/showthread.php?tid=553 Mon, 22 Jun 2026 06:42:04 +0300 mklabgr]]> https://mklab.gr/showthread.php?tid=553 ORANGE

Summary

Orange Data Mining is an open-source platform for data analysis, machine learning, and data visualization that uses a visual programming approach, allowing users to build workflows by connecting interactive components called “widgets” instead of writing extensive code.

 It supports tasks such as data loading and preprocessing, classification, regression, clustering, feature selection, visualization, text mining, and model evaluation, making it useful for both beginners learning data science and experienced users exploring datasets quickly. Orange is built with Python technologies and can also be extended through scripting and add-ons, providing a bridge between no-code experimentation and more advanced machine-learning development.


SOFTWARE PAGE]]> ORANGE

Summary

Orange Data Mining is an open-source platform for data analysis, machine learning, and data visualization that uses a visual programming approach, allowing users to build workflows by connecting interactive components called “widgets” instead of writing extensive code.

 It supports tasks such as data loading and preprocessing, classification, regression, clustering, feature selection, visualization, text mining, and model evaluation, making it useful for both beginners learning data science and experienced users exploring datasets quickly. Orange is built with Python technologies and can also be extended through scripting and add-ons, providing a bridge between no-code experimentation and more advanced machine-learning development.


SOFTWARE PAGE]]> https://mklab.gr/showthread.php?tid=552 Mon, 22 Jun 2026 06:39:17 +0300 mklabgr]]> https://mklab.gr/showthread.php?tid=552 JASP

Summary

JASP is a free, open-source, cross-platform statistical analysis program developed with support from the University of Amsterdam. It provides a user-friendly graphical interface similar to spreadsheet software, allowing researchers, students, and data analysts to perform statistical tests without programming. 

JASP supports both traditional (frequentist) and Bayesian methods, including t-tests, ANOVA, regression, correlation, contingency tables, meta-analysis, and more, with dynamic results, publication-ready APA-style tables, and integration features that support reproducible research and open science. Its main goal is to make advanced statistical analysis—especially Bayesian statistics—more accessible while remaining free, flexible, and easy to learn. 

SOFTWARE PAGE]]> JASP

Summary

JASP is a free, open-source, cross-platform statistical analysis program developed with support from the University of Amsterdam. It provides a user-friendly graphical interface similar to spreadsheet software, allowing researchers, students, and data analysts to perform statistical tests without programming. 

JASP supports both traditional (frequentist) and Bayesian methods, including t-tests, ANOVA, regression, correlation, contingency tables, meta-analysis, and more, with dynamic results, publication-ready APA-style tables, and integration features that support reproducible research and open science. Its main goal is to make advanced statistical analysis—especially Bayesian statistics—more accessible while remaining free, flexible, and easy to learn. 

SOFTWARE PAGE]]>