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blue_tit_back_transformed<-blue_tit_predictions %>%
back_transform_response_vars_yi(estimate_type="yi",
dataset="blue tit") %>%
ungroup %>%
select(
id_col,
response_variable_name,
contains("transformation"),
augmented_data,
back_transformed_data
) #TODO transformation column seems wrong! but output from convert_predictions() suggests correct transformation occured!#> ✔ Applied back-transformation for squared effect sizes or out-of-sample predictions.#> ✔ Applied back-transformation for squared effect sizes or out-of-sample predictions.#> ✔ Applied back-transformation for squared effect sizes or out-of-sample predictions.#> ✔ Applied back-transformation for squared effect sizes or out-of-sample predictions.#> ✔ Applied back-transformation for squared effect sizes or out-of-sample predictions.#> ✔ Applied back-transformation for squared effect sizes or out-of-sample predictions.#> ℹ No back-transformation required, identity link used.#> ℹ No back-transformation required, identity link used.#> ℹ No back-transformation required, identity link used.#> ℹ No back-transformation required, identity link used.#> ℹ No back-transformation required, identity link used.#> ℹ No back-transformation required, identity link used.#> ℹ No back-transformation required, identity link used.#> ℹ No back-transformation required, identity link used.#> ℹ No back-transformation required, identity link used.#> ℹ No back-transformation required, identity link used.#> ℹ No back-transformation required, identity link used.#> ℹ No back-transformation required, identity link used.blue_tit_back_transformed %>% select(-ends_with("_data")) %>% knitr::kable()
Local
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Created on 2024-08-13 with reprex v2.1.0
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