TerrSet is an integrated geospatial software system for monitoring and modeling the earth system for sustainable development. The TerrSet system incorporates the IDRISI GIS Analysis and IDRISI Image Processing tools along with a constellation of vertical applications. IReport/Jaspersoft Studio Support Announcement As of version 5.5.0, Jaspersoft Studio will be the official design client for JasperReports. IReport will remain as a supported product in maintenance-only mode until December 31, 2015, meaning we will continue to fix critical defects in upcoming releases but no new features will be added to the iReport client. Continue to maintain your existing. Statistical software, free download - Nokia Software Updater, Software Update, AV Voice Changer Software, and many more programs. This video demonstrates the basic functionality of JASP. The files used in this video can be downloaded at: osf.io/b8mj6 Connect with JASP:Website: https://j. The 0.6.6 version of JASP for Mac is available as a free download on our software library. The actual developer of this free software for Mac is JASP. The size of the latest downloadable setup file is 107.9 MB. This Mac download was checked by our built-in antivirus and was rated as virus free.

Stable release | |
---|---|

Repository | JASP Github page |

Written in | C++, R, JavaScript |

Operating system | Microsoft Windows, Mac OS X and Linux |

Type | Statistics |

License | GNU Affero General Public License |

Website | jasp-stats.org |

**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.^{[1]}^{[2]} JASP generally produces APA style results tables and plots to ease publication. It promotes open science by integration with the Open Science Framework and reproducibility by integrating the analysis settings into the results. The development of JASP is financially supported by several universities and research funds.

## Analyses[edit]

JASP offers frequentist inference and Bayesian inference on the same statistical models. Frequentist inference uses p-values and confidence intervals to control error rates in the limit of infinite perfect replications. Bayesian inference uses credible intervals and Bayes factors^{[3]}^{[4]} to estimate credible parameter values and model evidence given the available data and prior knowledge.

The following analyses are available in JASP:

Analysis | Frequentist | Bayesian |
---|---|---|

A/B test | ||

ANOVA, ANCOVA, Repeated measures ANOVA and MANOVA | ||

AUDIT (module) | ||

Bain (module) | ||

Binomial test | ||

Confirmatory factor analysis (CFA) | ||

Contingency tables (including Chi-squared test) | ||

Correlation:^{[5]}Pearson, Spearman, and Kendall | ||

Equivalence T-Tests: Independent, Paired, One-Sample | ||

Exploratory factor analysis (EFA) | ||

Linear regression | ||

Logistic regression | ||

Log-linear regression | ||

Machine Learning | ||

Mann-Whitney U and Wilcoxon | ||

Mediation Analysis | ||

Meta Analysis | ||

Mixed Models | ||

Multinomial test | ||

Network Analysis | ||

Principal component analysis (PCA) | ||

Reliability analyses: α, γδ, and ω | ||

Structural equation modeling (SEM) | ||

Summary Stats^{[6]} | ||

T-tests: independent, paired, one-sample | ||

Visual Modeling: Linear, Mixed, Generalized Linear |

## Other features[edit]

- Descriptive statistics and plots.
- Assumption checks for all analyses, including Levene's test, the Shapiro–Wilk test, and Q–Q plot.
- Imports SPSS files and comma-separated files.
- Open Science Framework integration.
- Data filtering: Use either R code or a drag-and-drop GUI to select cases of interest.
- Create columns: Use either R code or a drag-and-drop GUI to create new variables from existing ones.
- Copy tables in LaTeX format.
- PDF export of results.

## Modules[edit]

**Summary statistics**: Bayesian inference from frequentist summary statistics for t-test, regression, and binomial tests.**BAIN**: Bayesian informative hypotheses evaluation^{[7]}for t-test, ANOVA, ANCOVA and linear regression.**Network**: Network Analysis allows the user to analyze the network structure of variables.**Meta Analysis**: Includes techniques for fixed and random effects analysis, fixed and mixed effects meta-regression, forest and funnel plots, tests for funnel plot asymmetry, trim-and-fill and fail-safe N analysis.**Machine Learning**: Machine Learning module contains 13 analyses for supervised an unsupervised learning:- Regression
- Boosting Regression
- Random Forest Regression
- Regularized Linear Regression

- Classification
- K-Nearest Neighbors Classification
- Linear Discriminant Classification

- Clustering

- Regression
**SEM**: Structural equation modeling.^{[8]}**JAGS**module**Discover distributions****Equivalence testing**

## References[edit]

**^**Wagenmakers EJ, Love J, Marsman M, Jamil T, Ly A, Verhagen J, et al. (February 2018). 'Bayesian inference for psychology. Part II: Example applications with JASP'.*Psychonomic Bulletin & Review*.**25**(1): 58–76. doi:10.3758/s13423-017-1323-7. PMC5862926. PMID28685272.**^**Love J, Selker R, Verhagen J, Marsman M, Gronau QF, Jamil T, Smira M, Epskamp S, Wil A, Ly A, Matzke D, Wagenmakers EJ, Morey MD, Rouder JN (2015). 'Software to Sharpen Your Stats'.*APS Observer*.**28**(3).**^**Quintana DS, Williams DR (June 2018). 'Bayesian alternatives for common null-hypothesis significance tests in psychiatry: a non-technical guide using JASP'.*BMC Psychiatry*.**18**(1): 178. doi:10.1186/s12888-018-1761-4. PMC5991426. PMID29879931.**^**Brydges CR, Gaeta L (December 2019). 'An Introduction to Calculating Bayes Factors in JASP for Speech, Language, and Hearing Research'.*Journal of Speech, Language, and Hearing Research*.**62**(12): 4523–4533. doi:10.1044/2019_JSLHR-H-19-0183. PMID31830850.**^**Nuzzo RL (December 2017). 'An Introduction to Bayesian Data Analysis for Correlations'.*PM&R*.**9**(12): 1278–1282. doi:10.1016/j.pmrj.2017.11.003. PMID29274678.**^**Ly A, Raj A, Etz A, Marsman M, Gronau QF, Wagenmakers E (2017-05-30). 'Bayesian Reanalyses from Summary Statistics: A Guide for Academic Consumers'.*Open Science Framework*.**^**Gu, Xin; Mulder, Joris; Hoijtink, Herbert (2018). 'Approximated adjusted fractional Bayes factors: A general method for testing informative hypotheses'.*British Journal of Mathematical and Statistical Psychology*.**71**(2): 229–261. doi:10.1111/bmsp.12110. ISSN2044-8317. PMID28857129.**^**Kline, Rex B. (2015-11-03).*Principles and Practice of Structural Equation Modeling, Fourth Edition*. Guilford Publications. ISBN9781462523351.

## External links[edit]

- jasp-desktop on GitHub

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 [email protected] 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

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 | – | – |

### Jasp Logiciel Mac Os

## 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 | – | – |

## 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

### Jasp Logiciel Mac Gratuit

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 |