The JasperReports Library is the world's most popular open source reporting engine. It is entirely written in Java and it is able to use data coming from any kind of data source and produce pixel-perfect documents that can be viewed, printed or exported in a variety of document formats including HTML, PDF, Excel, OpenOffice and Word. One of the best ways that you can support the JASP project is by citing it. Citations are an important measure of how widely software is used, and an important indicator to funding bodies of JASP’s relevance. To cite JASP in publications use: JASP Team (2020). JASP (Version )Computer software. And the BibTeX entry: @MISCJASP2020. JASP is a free and open-source program for statistical analysis supported by the University of Amsterdam. It is designed to be easy to use, and familiar to users of SPSS.It offers standard analysis procedures in both their classical and Bayesian form. JASP generally produces APA style results tables and plots to ease publication. It promotes open science by integration with the Open Science.
Software of the Center for Spatial Data Science
- JASP offers a fresh way to do statistics. The application is a low-fat alternative to SPSS, and a perfect alternative to R. Programs for query ″jasp free download″.
- Download JASP Entirely for free, no strings attached. Windows Windows 64bit Windows 32bit The pre-installed 64-bit or 32-bit version can be used if the msi fails. Please note that JASP0.14 is not available for Windows 7. MacOS Catalina Mojave Continue reading →.
Stable Releases
Jasp Logiciel Mac Os
| Name | Functionality | Platform & Code | Language | Documentation | Download/License | |
|---|---|---|---|---|---|---|
| GeoDa | Introduction to Spatial Data Analysis: Exploratory (Spatial) Data Analysis & Spatial Regression | Cross-platform (Win, OSX and Linux) and open source | C++ | User's Guides | Free Download | |
| GeoDaSpace | Spatial econometrics (lag and error, endogenous variables, HAC, robust standard errors, spatial regimes) | Cross-platform code in PySAL 1.3+ | Python | Book | Free Download | |
| PySAL spreg API | See GeoDaSpace; part of Dr. Serge Rey's PySAL library | Cross-platform | Python | Book Tutorial Data | Free Download (BSD) | |
SPVCM | spvcm | Gibbs sampling for spatially-correlated variance-components | Cross-platform | Python | Tutorial | Free Download (MIT) |
Alpha Releases
| Name | Functionality | Platform & Code | Language | Documentation | Download |
|---|---|---|---|---|---|
| CAST | Crime Analytics for Space-Time: Space-time cluster and other methods for point and polygon data | Cross-platform, code partially in PySAL's ESDA API | Python, C++ | User's Guide Tutorial Data | Free Download License |
A comprehensive software solution designed to help both experts and beginners build complex psychological or sociological experiments
What's new in OpenSesame 3.3.5:
- Bug fixes and improvements:
- opensesame:
- Updated to 3.3.5
- log.open() does not update var.logfile or list of data files
OpenSesame is a streamlined piece of software created especially for users that want to build psychology-related experiments. In addition, the application is also well-suited for creating complex experiments in fields like neuroscience and experimental economics.
Right off the bat, it should be noted that the utility is designed from the ground up to make it possible for you to use third party devices such as eye trackers, button boxes and EEG equipment.
Jasp Logiciel Mac Gratuit
Enhance the app's capabilities by adding Python code
Furthermore, since almost everything related to psychology usually involves high-level complexity, it is worth mentioning that OpenSesame enables you to use Python to further enhance the provided possibilities.
For example, in situations in which the app is no longer sufficient, you can customize its core functionality by adding Python codes to your experiments. This is probably the best time to point out that it is a very good idea to take a while and read the instructions and possibly undergo some of the tutorials provided on the developer's website.
Typical installation process and intuitive interface
The app undergoes a typical installation process, after which it can be launched without the need of configuration on your part. The main window is fairly well structured and the interface makes it easy for you to access all its functions with ease.
On the top part of the main window, you can find the app's top toolbar that provides you quick access to some of the main features and commands, on the extreme left there is a compact panel that offers direct access to some of the most commonly used tools and right next to it an Overview panel that displays the structure of your experiment.
Complex and advanced, cross-platform app for psychology-related experiments
In addition to all this, you should also know that OpenSesame is a cross-platform application which means that you can run it just as efficiently on all major operating systems out there, namely Windows, macOS and Linux.
All in all, OpenSesame is a reliable and useful utility that, once you take the time to read all the complex instructions and learn its functions, can help you develop complex psychological experiments using your computer as the primary platform for doing so.
Filed under
OpenSesame was reviewed by Vladimir CiobicaOpenSesame 3.3.5
add to watchlistsend us an update- runs on:
- Windows 10
Windows 8
Windows 7
Windows Vista
Windows XP - file size:
- 498 MB
- filename:
- opensesame_3.3.5-py27-win64-1.zip
- main category:
- Science / CAD
- developer:
- visit homepage
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