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I'm working with the iris data.I made a density plot And a qq plot For sepal Length.It looks Approximately normal With the left skew And a flat peak
The points In the qq Plot Stay within The confidence bands With the exception of smaller values
Would you classify This variable As normally distributed?
Are there more Empirical tests For validating normality?
The dataIs availableWith this code chunk
dni3 <- dimnames(iris3) ii <- data.frame(matrix(aperm(iris3, c(1,3,2)), ncol = 4, dimnames = list(NULL, sub(" L.",".Length", sub(" W.",".Width", dni3[])))), Species = gl(3, 50, labels = sub("S", "s", sub("V", "v", dni3[])))) all.equal(ii, iris) # TRUE
These are the commands for the plots
library('car') plot(density(Sepal.Length)) qqPlot(Sepal.Length)
And these are the plots