We are delighted to announce that JASP 0.9 is now available on our download page. It includes the following new features and improvements:
- Filtering: use either R code or a drag-and-drop GUI to select cases of interest (an in-depth explanation on filtering in JASP will be posted soon)
- The JASP data library: an initial collection of over 50 data sets, including the examples from two popular stats textbooks
- Exporting tables from JASP in LaTeX format
- Non-parametric tests:
- Friedman and Durbin tests / nonparametric (classical RM ANOVA)
- Kruskal-Wallis / nonparametric (classical ANOVA)
- Connover’s nonparametric post hoc test (classical RM ANOVA)
- Dunn’s nonparametric post hoc test (classical ANOVA)
- Mann-Whitney / Wilcoxon rank sum test (Bayesian independent samples T-Test)
- Resizing tables and plots with ctrl+/ctrl-/ctrl=
- R engine updated from 3.3.3 to 3.4.4
- SEM module upgraded
- Improved Bayesian linear regression
- Improved contrasts for RM ANOVA
- Hand pointer to scroll through the data viewer
- Open file via welcome screen
- Improvement of placement tags of outliers
- Graphs in network analysis displays in colourblind mode by default
For a complete list containing all new features and bug fixes of this JASP version, or to get started with JASP 0.9 right away, head over to our download page. Enjoy!