Comments (6)
OK decided. PR merged.
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I do not think it would be a problem to populate variable column with "(Intercept)".
Let me check
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Dear @ddsjoberg ,
in fact it is already possible. Please note that your label
option in gtsummary::tbl_regression()
corresponds to var_labels
option in tidy_plus_plus()
library(broom.helpers)
mod <- glm(response ~ age + grade, gtsummary::trial, family = binomial)
res <- mod %>% tidy_plus_plus(
intercept = T,
variable_labels = list("(Intercept)" = "custom")
)
res %>% dplyr::select(term, variable, var_label, label)
#> # A tibble: 5 x 4
#> term variable var_label label
#> <chr> <chr> <chr> <chr>
#> 1 (Intercept) <NA> custom custom
#> 2 age age Age Age
#> 3 gradeI grade Grade I
#> 4 gradeII grade Grade II
#> 5 gradeIII grade Grade III
Created on 2020-10-21 by the reprex package (v0.3.0)
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However, it is TRUE that it is not clearly stated in the documentation.
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Now, I have also explored the possibility that, for intercepts, variable column will be populated with term content (i.e. for most models it will be "(Intercept"). Few adjustments are required (cf. https://github.com/larmarange/broom.helpers/pull/68/files )
So, it will be a minor break change, but it could be considered.
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I like the idea of having the variable column populated. It'll make selecting that variable/term/intercept much easier to do by the name the users are seeing. My vote is to populate it!
Also, I should note that since it's populated in gtsummary, if we choose not to populate, I'll populate it manually after running tidy_plus_plus()
so that all of the other tbl_regression()
helper functions can select it as they need.
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Related Issues (20)
- Required change to stay on CRAN
- Release broom.helpers version 1.14.0
- Support for mmrm models HOT 8
- Support for MASS::contr.sdif() contrasts
- Support for zero-inflated models
- beta regression is not supported yet HOT 2
- Considering a `tidy_post_fun` argument to `tidy_plus_plus()` HOT 2
- Support with coxphf model HOT 9
- Bug fixes and improvements for mixed models HOT 1
- tbl_regression (package gtsummary) and ggcoef_model (package ggstats) not working on the output of a replicate svyglm model HOT 2
- fantastic support of multivariate quantile regression for any quantile HOT 1
- Support for survival::cch model? HOT 5
- Avg_comparisons and nlme::lme() models HOT 1
- order of variable levels with marginal tidiers HOT 8
- Release broom.helpers 1.15.0
- Take into account (id) when computing model_get_n() for coxph models
- `marginaleffects::datagridcf()` is deprecated
- Do you know the status of the {margins} pkg? HOT 1
- Explore better support of VGAM::vglm() models
- Execution time
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