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Needed because ggstatsplot::ggcoefstats() also allows taking data frame as inputs.
safe_model_parameters <- function(x) {
tryCatch(
warning = function(cnd) if(grepl("A `data.frame` object", cnd)) tibble::as_tibble(x),
parameters::model_parameters(x)
)
}
safe_model_parameters(iris)
#> # A tibble: 150 Γ 5
#> Sepal.Length Sepal.Width Petal.Length Petal.Width Species
#> <dbl> <dbl> <dbl> <dbl> <fct>
#> 1 5.1 3.5 1.4 0.2 setosa
#> 2 4.9 3 1.4 0.2 setosa
#> 3 4.7 3.2 1.3 0.2 setosa
#> 4 4.6 3.1 1.5 0.2 setosa
#> 5 5 3.6 1.4 0.2 setosa
#> 6 5.4 3.9 1.7 0.4 setosa
#> 7 4.6 3.4 1.4 0.3 setosa
#> 8 5 3.4 1.5 0.2 setosa
#> 9 4.4 2.9 1.4 0.2 setosa
#> 10 4.9 3.1 1.5 0.1 setosa
#> # β¦ with 140 more rows
safe_model_parameters(lm(wt ~ mpg, mtcars))
#> Parameter | Coefficient | SE | 95% CI | t(30) | p
#> ------------------------------------------------------------------
#> (Intercept) | 6.05 | 0.31 | [ 5.42, 6.68] | 19.59 | < .001
#> mpg | -0.14 | 0.01 | [-0.17, -0.11] | -9.56 | < .001
#>
#> Uncertainty intervals (equal-tailed) and p-values (two-tailed) computed
#> using a Wald t-distribution approximation.Created on 2022-10-15 with reprex v2.0.2
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