procedures, across 13 modules
The registry lists, procedure by procedure, which numeric fields were compared against a named base-R function.
What a badge licenses →An integrated bilingual (Arabic/English) academic statistical analysis platform that runs entirely in the browser without installing any software. Designed for researchers and students in social, medical, and economic sciences — combining JavaScript speed with R engine precision via WebR, and a statistical interpretation engine specialized in statistical techniques.
The registry lists, procedure by procedure, which numeric fields were compared against a named base-R function.
What a badge licenses →Nothing is installed and no dataset leaves your machine. The whole suite works offline after the first visit.
Right-to-left layout, Arabic result narratives and Arabic seed labels — not an interface translated after the fact.
If MindStat produced a number in your thesis, article or report, cite the software and the version you actually ran:
Cite R as well, together with the function or package named in the registry row for the metric you report.
Descriptive stats, t-tests, ANOVA/ANCOVA, regression, non-parametric, plus built-in Bayesian, Bootstrap, Mixed-Models panels.
Kaplan-Meier, Cox regression, ROC, epidemiology (RR, OR), clinical-trial calculations.
OLS, IV, panel data, ARIMA, VAR, GARCH, Granger causality, unit-root & cointegration tests.
Moran's I, Geary's C, spatial autocorrelation, density maps, SAR/SEM spatial models.
SEM, CFA, path diagrams, full fit indices (CFI, TLI, RMSEA, SRMR), validity metrics.
CRD, RCBD, Latin Square, Factorial, Split-Plot, ANCOVA, Response Surface Methodology.
Shewhart control charts (X̄-R, X̄-S, I-MR, p, np, c, u), capability indices (Cp, Cpk, Pp, Ppk), Gauge R&R.
Paste any SPSS output table and get an instant plain-language + APA 7 interpretation.
Reliability (α, ω), item analysis, IRT basics, scale validation.
Random Forest, KNN, SVM, neural networks, K-Means, PCA, hierarchical clustering, cross-validation, and conformal prediction.
Research-grade Monte Carlo: Type-I error and power studies, robustness under violated assumptions, CLT demonstrations, and synthetic data — all seeded and exactly reproducible.
End-to-end systematic review: import and de-duplicate, blinded dual-reviewer screening, structured extraction, RoB 2 / ROBINS-I / QUADAS-2 appraisal, GRADE, and a PRISMA 2020 flow diagram derived from your own decision log.
MindStat is designed with researcher confidentiality as a first principle:
WebR 0.5.4 (R 4.5.1) for the in-browser R engine behind every verification, Plotly.js for charts, MathJax 3 for equations, SheetJS · html2pdf · docx.js for export, Noto Naskh Arabic for Arabic type, and a service worker that makes the suite installable and usable offline.
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