I am trying to test the normality of pesticides residues in fish with 6 pesticides as quantitative variables and 3 qualitative variables with 8 factors in total. how do i model the dataset to succesfully test for normality
Do you mean you want to test the residuals from a regression for normality or that you want to test the pesticide data for normality.
And out of curiosity, why do you care about normality?
fit <- lm(mpg ~ drat + as.factor(cyl),mtcars)
plot(fit, which = 2)
# null is that the residuals are normally distributed
shapiro.test(resid(fit))
#>
#> Shapiro-Wilk normality test
#>
#> data: resid(fit)
#> W = 0.97876, p-value = 0.7628
Created on 2023-11-22 with reprex v2.0.2
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