Closed BERENZ closed 2 years ago
Rootogram for distribution assessment, eg code from distributions3 presentation (source: https://www.zeileis.org/papers/useR-2022.pdf)
distributions3
R> bp <- barplot(sqrt(observed), offset = sqrt(expected) - sqrt(observed), + xlab = "Goals", ylab = "sqrt(Frequency)") R> lines(bp, sqrt(expected), type = "o", pch = 19, lwd = 2, col = 2) R> abline(h = 0, lty = 2)
Solved by #19
Rootogram for distribution assessment, eg code from
distributions3
presentation (source: https://www.zeileis.org/papers/useR-2022.pdf)