Free Trial Download. For Mac and Windows. With JMP ®, you can solve problems, reveal opportunities and inform decisions with a rich set of comprehensive capabilities for statistical analysis. Statistical Analysis capabilities in JMP ® include: Univariate and multivariate linear and nonlinear analysis. ANOVA, MANOVA and ANCOVA. Mac; Android APK; Linux; News & reviews; Softpedia Windows Science / CAD JASP. 2,380 downloads Updated: December 17, 2020 Donationware / GPLv3. Review Free Download. Jasp replied to Jasp's topic in Evernote for Mac Issues (Versions 7.14 and under) Thanks very much everyone - I hadn't thought of that one. I guess that keeping Dropbox out of my User folder might be problematic on shared machines or on managed machines because it would give others access to whatever's in your Dropbox folder - tho' that doesn't. PSPP is a free SPSS clone with a Mac version you can download from this site (it’s unsigned). It is also in MacPorts, but that's another level of effort. The pre-compiled Mac version is under 60 MB, while some other free software can take half a gigabyte; it loads almost instantly. SPSS is far slower in both calculations and launching. Free Trial: JASP is a free statistical software for Mac and Windows. More Info and Download. NCSS (Statistical Software). The non-technical persons can easily make Genstat free download and install. Because of the friendly user interface, it is straightforward to use.
New Features
jGRASP version 2.0.6_05 Beta adds CSD, interactions, and run support for Java 15 features (text blocks).
jGRASP version 2.0.6 includes dark themes.
The jGRASP Plugin for Eclipse version 1.0.0 Beta 6 adds support for the Eclipse dark theme.
About jGRASP and jGRASP Plugins
jGRASP is a lightweight development environment, created specifically to provide automatic generation of software visualizations to improve the comprehensibility of software. jGRASP is implemented in Java, and runs on all platforms with a Java Virtual Machine (Java version 1.8 or higher). jGRASP produces Control Structure Diagrams (CSDs) for Java, C, C++, Objective-C, Python, Ada, and VHDL; Complexity Profile Graphs (CPGs) for Java and Ada; UML class diagrams for Java; and has dynamic object viewers and a viewer canvas that work in conjunction with an integrated debugger and workbench for Java. The viewers include a data structure identifier mechanism which recognizes objects that represent traditional data structures such as stacks, queues, linked lists, binary trees, and hash tables, and then displays them in an intuitive textbook-like presentation view.
jGRASP plugins for IntelliJ (IDEA and Android Studio) and Eclipse add the viewer and canvas features to those IDEs. For IntelliJ, the viewers and canvas will also work with Kotlin (JVM) code.
jGRASP is developed by the Department of Computer Science and Software Engineering in the Samuel Ginn College of Engineering at Auburn University.
Current Development
We are currently building a gdb/lldb interface for the debugger and visualizations in jGRASP, with support initially for C and C++ and the potential for other languages in the future. In parallel with this, we are developing a viewer/canvas plugin for CLion.
Acknowledgments
The development of jGRASP plugins for Eclipse, IntelliJ, and CLion and future jGRASP C/C++ visualizations is supported by the Auburn Cyber Research Center.
Prior development of jGRASP was supported by a research grant from the National Science Foundation.
The development of GRASP, the predecessor of jGRASP, was supported by research grants from NASA Marshall Space Flight Center, the Department of Defense Advanced Research Projects Agency (ARPA), and the Defense Information Systems Agency (DISA).
Jasp Install
Conveniently analyze data, present and publish valid results in an intuitive manner with the help of this open source and highly efficient utility
Created by a team of dedicated academics from the University of Amsterdam, JASP is a complex and robust piece of software that has been designed from the ground up to help you analyze massive amounts of data and present the results in an intuitive manner.
Here are some of the app's key points
Probably the first thing you should know about this application is the fact that it's capable of performing most types of both Frequentist and Bayesian analysis, with support for ANOVA, ANCOVA, Binomial Test, Contingency Tables, Correlation: Person, Spearman, Kendal, Linear Regression, Log-Linear Regression, and T-Test, as well as many others.
The fact that the app is capable of integrating with The Open Science Framework is also something that might be worth knowing. This means that not only can you access data directly from the OSF, but you can also publish the results there as well.
Unexpectedly accessible GUI
Even though it's capable of performing a varied array of complex tasks, this is by no means a complicated app, quite the opposite. All the primary analysis groups are readily available from the app's top toolbar.
Jasp Roll App
Of course, the app bundles a few advanced analysis modules such as SEM, as well. With the help of this module, you can perform structural equation modeling. With the app's summary stats feature, you can reanalyze and analyze published findings without needing the original data.
A few words on other useful features
One of the app's other highlights stems from the fact that it dynamically updates all of the results in real-time. In short, all the changes are instantly reflected in the output panel. In addition, the utility allows you to write articles and reports, which you can easily export to other, more powerful word processors if you need to.
Furthermore, JASP makes it easy for you to annotate analysis, create various useful records, in order to give properly interpret your results. Last but not least, you're also able to save projects as ONG or EPS to accompany your article submission.
Analyze data, reach relevant conclusions, and publish results with the least amount of effort
All things considered, JASP is a very interesting application that is sure to prove its worth for anyone looking for a powerful tool capable of analyzing vast amounts of data and either presenting or publishing them. The best thing about JASP is its perfect blend of powerful features and user-accessibility.
Filed under
JASP was reviewed by Vladimir Ciobica- New Features and improvements:
- Engine improvements
- The new analyses depend on many R package and we’re grateful to the package developers, the newly added/updated packages can be found belowAll R packages used in JASP can be found here
- New modules and analyses:
JASP 0.14.1
add to watchlistsend us an update- runs on:
- Windows 10 32/64 bit
Windows 8 32/64 bit
Windows 7 32/64 bit
Windows Vista 32/64 bit - file size:
- 318 MB
- filename:
- JASP-0.10.2-x64.zip
- main category:
- Science / CAD
- developer:
- visit homepage
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