Comments (5)
Probably, but we also have advanced our R skills the past months, so... 💪
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If I recall correctly, the main blocker for that was report.grouped_df
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true dat 🚀
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I think behaviour has changed since dplyr 0.8.0, which was released mid of Feb 19. We can recycle this code here to manage grouped df's: https://github.com/strengejacke/sjmisc/blob/master/R/reshape_helpers.R#L65
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closing in favor of #63
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Related Issues (20)
- Unclear reporting HOT 1
- The model's explanatory power is "substantial" HOT 1
- What's the best way to provide appropriate attribution/citation? HOT 2
- Support models of class `gamm` HOT 2
- emmeans and beta regression support
- `report_participants()` should set age as numeric, accept more choices for gender
- report fails when model formulat built with stats::reformulate
- oneway.test: `Error in paste0(out$interpretation, " (", out$statistics, ")"): object 'out' not found`
- Add support for `kruskal.test()`
- Error: bad 'data': object 'data_std' not found HOT 3
- What is the expected behaviour for report(estimate_contrasts(model))?
- To-do: Clean-up names in outputs (`airquality$Month` instead of `as.factor(airquality$Month)`) HOT 1
- Why do the standardized beta values and CIs of a glm poisson regression model not differ from the unstandardized ones? HOT 8
- New CRAN release? HOT 1
- When using stats::t.test, the report() and report_table() function output displays "95 % CI" even if, say, conf.level = 0.975
- CRAN submission revedep check failed (*** Strong rev. depends ***: easystats SqueakR) HOT 7
- report does not work with BayesFactor models
- report_sample(): add indices names in caption instead of table HOT 1
- support for quantile regression
- Report Summary for Time Series Model Stats
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