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However, I noticed that when one changes the number-of-digits display using the digits argument, that the display for the Pearson’s r value and for the associated t statistic are changed, but the confidence interval limits stay at 2-digits status regardless of the argument value.
CI stays with 2 digits (but it works in parameters)
correlation::correlation(iris, digits=1)
#> # Correlation Matrix (pearson-method)
#>
#> Parameter1 | Parameter2 | r | 95% CI | t(148) | p
#> ------------------------------------------------------------------------
#> Sepal.Length | Sepal.Width | -0.1 | [-0.27, 0.04] | -1.4 | 0.152
#> Sepal.Length | Petal.Length | 0.9 | [ 0.83, 0.91] | 21.6 | < .001***
#> Sepal.Length | Petal.Width | 0.8 | [ 0.76, 0.86] | 17.3 | < .001***
#> Sepal.Width | Petal.Length | -0.4 | [-0.55, -0.29] | -5.8 | < .001***
#> Sepal.Width | Petal.Width | -0.4 | [-0.50, -0.22] | -4.8 | < .001***
#> Petal.Length | Petal.Width | 1.0 | [ 0.95, 0.97] | 43.4 | < .001***
#>
#> p-value adjustment method: Holm (1979)
#> Observations: 150
parameters::parameters(lm(Sepal.Length ~ Sepal.Width, data=iris), digits=1)
#> Parameter | Coefficient | SE | 95% CI | t(148) | p
#> ---------------------------------------------------------------
#> (Intercept) | 6.5 | 0.5 | [ 5.6, 7.5] | 13.6 | < .001
#> Sepal Width | -0.2 | 0.2 | [-0.5, 0.1] | -1.4 | 0.152
#>
#> Uncertainty intervals (equal-tailed) and p-values (two-tailed) computed
#> using a Wald t-distribution approximation.
Created on 2025-01-19 with reprex v2.1.1
Received by email:
CI stays with 2 digits (but it works in
parameters)Created on 2025-01-19 with reprex v2.1.1