We should attempt to clean-up names in outputs (airquality$Month instead of as.factor(airquality$Month)) (discussed initially in #397). E.g.,
library(report)
x <- kruskal.test(airquality$Ozone ~ as.factor(airquality$Month))
report(x)
#> Warning: Missing values detected. NAs dropped.
#> Effect sizes were labelled following Field's (2013) recommendations.
#>
#> The Kruskal-Wallis rank sum test testing the difference in ranks between
#> airquality$Ozone and as.factor(airquality$Month) suggests that the effect is
#> statistically significant, and large (Kruskal-Wallis chi2 = 29.27, p < .001;
#> Epsilon squared (rank) = 0.25, 95% CI [0.14, 1.00])
We should attempt to clean-up names in outputs (
airquality$Month
instead ofas.factor(airquality$Month)
) (discussed initially in #397). E.g.,Created on 2023-11-05 with reprex v2.0.2