StatsWithR Publication Table Studios

Turn raw statistical-software output into organized, editable, publication-ready tables.

The StatsWithR Publication Table Studios are three browser-based applications designed for researchers, statisticians, analysts, and manuscript teams who need to convert statistical output into polished tables without rebuilding every result manually.

Each application is optimized for a different group of statistical-software sources. Import a report, output file, notebook, log, listing, structured document, or copied results. The application identifies candidate tables, separates multiple analyses, retains source excerpts for comparison, and organizes the results into an editable table collection.

Review and edit table titles, model labels, column headings, row labels, values, notes, references, ordering, and structure. Apply consistent precision, P-value formatting, confidence-interval presentation, publication styles, column roles, and visibility settings. Compatible model tables can also be combined after their labels and statistical scales have been reviewed.

Tables begin with an unreviewed status. Source excerpts, parser-confidence information, extraction warnings, validation findings, and a review or provenance report help users verify each table against the original statistical output before publication.

R & Python Publication Table Studio

Prepare publication tables from R and Python output, rendered reports, and notebook results.

Common sources include:

• R console and .Rout output

• R Markdown and Quarto reports

• R table(), xtabs(), and ftable() output

• gt and flextable HTML

• Mixed-model summaries

• Python and Jupyter notebooks

• Statsmodels summaries

• Pandas-style tables

• Compatible Markdown, HTML, Word, Excel, OpenDocument, XML, RTF, CSV, TSV, text, and ZIP result collections

Stata & SAS Publication Table Studio

Prepare tables from Stata logs, SAS listings, reporting output, and structured exports.

Common sources include:

• Stata .log and .smcl output

• Copied Stata etable and dtable results

• Survey and post-estimation tables

• Regression, survival, meta-analysis, and model-fit output

• SAS listing output

• SAS ODS-derived HTML, XML, Word, Excel, and RTF tables

• Compatible text, CSV, TSV, OpenDocument, and ZIP result collections

SPSS & Point-and-Click Publication Table Studio

Prepare publication tables from SPSS and other menu-driven statistical applications.

Common sources include:

• Compatible SPSS Viewer packages

• SPSS OXML and XML

• Exported HTML and copied pivot-table output

• Compatible jamovi and JASP result packages

• JMP reports

• Minitab session output

• Compatible Word, Excel, OpenDocument, HTML, RTF, CSV, TSV, text, and ZIP result collections

Included Features

• Detect multiple tables within one report or output file

• Edit titles, subtitles, model labels, headers, rows, cells, and notes

• Add, delete, duplicate, reorder, or restructure tables

• Undo and redo editing actions

• Apply safe cleanup suggestions

• Standardize statistical labels

• Combine compatible model tables

• Validate table structure and statistical ranges

• Export review and provenance documentation

• Process statistical output locally in the browser

Compatibility depends on the statistical-software version, procedure, export method, and degree of output customization. Password-protected, encrypted, damaged, or unsupported proprietary structures may not import correctly. Users must compare all extracted tables with the original statistical output and remain responsible for the statistical accuracy and appropriateness of the final publication tables.

Product and software names are used only to identify compatible output sources. StatsWithR and the Publication Table Studios are independent of the developers of the referenced statistical software.