Jasp Logiciel Mac
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. The download version of JASP pour Mac is 0.6.6. This Mac app is distributed free of charge. The download is provided as is, with no modifications or changes made on our side. Name Functionality Platform & Code Language Documentation Download; CAST: Crime Analytics for Space-Time: Space-time cluster and other methods for point and polygon data. Stats made simple. Jamovi is a new “3rd generation” statistical spreadsheet. Designed from the ground up to be easy to use, jamovi is a compelling alternative to costly statistical products such as SPSS and SAS. Download and install the best free stats program.

Welcome to the JASP Tutorial section. Below you can find all the analyses and functions available in JASP, accompanied by explanatory media like blog posts, videos and animated GIF-files.
Click on the JASP-logo to go to a blog post, on the play-button to go to the video on Youtube, or the GIF-button to go to the animated GIF-file. We’re working hard to complete this list of tutorials. To request a tutorial for a specific analysis procedure, please send an email to info@jasp-stats.org and we will prioritize accordingly.
NB. For feature requests, for help installing JASP, or for bug reports: please post your issue on our GitHub page so the JASP team can assist you efficiently (for details see this blog post).
Frequentist Analyses
Jasp Logiciel Mac Os
Blog Post | Video | GIF | |
ANCOVA | – | ||
ANOVA | – | ||
Binomial Test | – | – | – |
Confirmatory Factor Analysis | – | – | |
Contingency Tables | – | – | |
Correlation | – | ||
Descriptive Statistics | – | ||
Exploratory Factor Analysis | – | – | |
Generalized Linear Mixed Models | – | – | – |
Hierarchical Regression | |||
Independent Samples T-Test | |||
Linear Mixed Models | – | – | |
Linear Regression | – | ||
Logistic Regression | – | ||
Log-Linear Regression | – | – | – |
MANOVA | – | – | |
Mediation Analysis | – | – | |
Multinomial Test and Chi-Square Test | |||
Nonparametric tests | – | – | |
One Sample T-Test | |||
Paired Samples T-Test | – | – | |
Principal Component Analysis | – | – | – |
Repeated Measures ANOVA | – | ||
Selection Models | – | – | |
Structural Equation Modeling | – | – |
Bayesian Analyses
Blog Post | Video | GIF | |
A/B Test | – | – | – |
ANCOVA | – | – | – |
ANOVA | – | – | |
Binomial Test | – | – | |
Contingency Tables | – | – | – |
Correlation | – | ||
Generalized Linear Mixed Models | – | – | – |
Independent Samples T-Test | – | – | – |
Linear Mixed Models | – | – | – |
Linear Regression | – | – | |
Log-Linear Regression | – | – | – |
Multinomial Test | – | – | |
One Sample T-Test | – | – | – |
Paired Samples T-Test | – | – | |
Repeated Measures ANOVA | – | – | – |
Robust Bayesian Meta-Analysis | – | – |
Jasp Logiciel Mac Gratuit
Modules
Blog Post | Video | GIF | |
Audit | – | ||
Bain | – | – | – |
Distributions | – | ||
Equivalence T-Tests (Beta) | – | – | – |
JAGS | – | ||
Learn Bayes | – | – | |
Machine Learning | – | ||
Meta-Analysis | |||
Network | |||
R (Beta) | – | – | |
Reliability | – | ||
Structural Equation Modeling (SEM) | – | – | – |
Summary Stats | – | ||
Visual Modeling (Beta) | – |
Functions
Blog Post | Video | GIF |
Compute Columns | – | |
Data & Label Editing | ||
Exact P-Values | – | |
Filtering | – | |
OSF support | – | |
Test Interval-Null Hypotheses | – | – |
VS-MPR | – |

Tips & Tricks
Below you can find a list of small features as well as tips and tricks in JASP, explained with a simple animated GIF or video. Click on the icon to get to the file.

How to… |
Add a new module |
Add confidence intervals for effect sizes |
Arrange analyses in desired order |
Change a variable type |
Change the default language |
Cite and reference in APA Style |
Copy tables directly into your word processor |
Copy tables in LaTeX format |
Export results to HTML |
Load a data set from the JASP Data Library |
Make your plots have a transparent / white background |
Resize the data view |
Save plots as images |
Save plots as PowerPoint file (.pptx) |
Search for variables by typing the variable name |
Select dark theme |
Tell JASP which values in your dataset are NA values |
View a help file |
Write annotations in the output |