https://jma61.r-universe.devRecent package updates in jma61R-universehttps://github.com/jma61.pnghttps://jma61.r-universe.devWed, 01 Jul 2026 08:52:43 GMTsurveycentre@griffith.edu.au (Jeff Ackerman)Provides simplified tools for common statistical analyses used in social science research and teaching, with output formatted in the style of SPSS and Stata. Analysis functions include descriptive statistics, frequency tables, t-tests, ANOVA, correlations, chi-square tests, cross-tabulations, linear regression, logistic regression, and Cronbach's alpha, with built-in model diagnostics and publication-oriented plotting. Supporting tools handle data management (recoding, labelling, filtering, dummy coding, scale construction), automatic detection and handling of coded missing values, and unified data import and export for SPSS, Stata, SAS, Excel, CSV, and R formats. Functions accept unquoted variable names and formula syntax for ease of use, handle haven-labelled variables automatically, and return results invisibly while printing user-friendly tables. The package stays close enough to base R conventions that users learn transferable skills rather than a private dialect, supporting a smooth transition from SPSS, Stata, or SAS into the broader R ecosystem.https://github.com/r-universe/jma61/actions/runs/28508135256Wed, 01 Jul 2026 08:52:43 GMTjstats0.9.96successhttps://jma61.r-universe.devhttps://github.com/JMA61/jstats