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If you suspect the groups are unequally spaced but do not know by how much then either fit a quadratic polynomial in addition to a linear one using a second set of contrast coefficients or use a nonparametric procedure such as [:FAQ/JonckheereTrendTest Jonckheere's Trend Test]. If you suspect the groups are unequally spaced but do not know by how much then either fit a quadratic polynomial in addition to a linear one using a second set of contrast coefficients or use a nonparametric procedure such as [:FAQ/JonckheereTrendTest: Jonckheere's Trend Test].

Fitting linear orthogonal polynomials

A linear polynomial assumes that three or more groups have an ordering e.g. A>B>C and that the distances between each successive pair of groups are equal. This may be tested by specifying contrast coefficients in an anova.

Specific contrast coefficients can also be obtained assuming unequal distances between groups but the ratio of these differences must be specified e.g. if groups B and C are twice as far from each other as groups A and B then contrast coefficients may be obtained using, for example, R.

> x <- c(1,2,4)
> poly(x,degree,1)

If you suspect the groups are unequally spaced but do not know by how much then either fit a quadratic polynomial in addition to a linear one using a second set of contrast coefficients or use a nonparametric procedure such as [:FAQ/JonckheereTrendTest: Jonckheere's Trend Test].

None: FAQ/orthopolys (last edited 2020-02-11 16:12:26 by PeterWatson)