Update cloud branch - #18
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Add a "standardize" option to both multivariable and univariable linear regression models. When selected, the model data is standardized using the `datawizard` package. Specifically: - Subset the data to formula variables before standardizing with `datawizard::standardize(..., remove_na = "all")` to ensure listwise deletion matches standard model fitting. - Update table headers to "**Standardized Coefficient**" when selected and to "**Coefficient**" when not selected - Qualify helper functions in the `stats` package (e.g., `stats::lm`, `stats::as.formula`, `stats::reformulate`). - Add `datawizard` dependency to the DESCRIPTION file.
- Change "Standardized coefficients" to "Standardized coefficient" in linear regression analyses - Change "exponentiate coefficients" to "exponentiated coefficient" in logistic and cox analyses - Improve grammatical consistency across all model tables (tblreg and tblunireg) by ensuring row-level UI toggles use singular terms
- Remove redundant verbs ("Add", "Show") from option titles for a cleaner name-first approach (e.g., "Add N column" -> "N column", "Show p-value" -> "P-value").
- Rename "Show reference value" to "Reference level value" for better clarity and statistical accuracy.
- Change 'Reference level value' to 'Reference level coefficient' across regression analyses - Change nested 'Confidence level' titles to 'Level' in regression analyses - Keep full 'Confidence level' title in summary tables due to sibling layout
- Add "16" to all numeric formatting dropdowns (coefficients, CI, percentages, differences, etc.) across all tables to allow raw, unrounded output. - Rename "Merge with statistic column" to "Merge CI with statistic column" in the Summary Table options for better clarity. - Update the user guide and stats-digits screenshot to reflect the new "16" decimal places setting.
Add a new section to the user guide explaining the standardized coefficients option for regression tables. Clarify the crucial difference from SPSS where categorical variables (factors) are not standardized, preserving their baseline interpretation. This aligns with the "refit" method in the easystats parameters package. Include a new image asset to highlight the UI option.
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