jstats - Simplified Statistical Analysis Tools for Social Science

Provides simplified tools for common statistical analyses used in social science research and teaching, with output formatted in the style of 'SPSS', 'Stata', or 'SAS'. 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 plotting. Supporting tools handle data management (recoding, labelling, encoding text as coded values, case selection, dummy coding, scale construction, data screening) and unified data import and export for 'SPSS', 'Stata', 'SAS', 'Excel', CSV, and R formats. Declared missing values are read and written faithfully in each platform's own convention, can be declared or converted between conventions within R, and suspected but undeclared missing-value codes are detected automatically. Functions accept unquoted variable names and formula syntax, handle 'haven'-labelled variables directly, and return results invisibly while printing readable tables. The package stays close enough to base R conventions that users learn transferable skills rather than a private dialect, easing the transition from 'SPSS', 'Stata', or 'SAS' into the broader R ecosystem.