Introducing JASP 0.9

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!


 

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