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Errors-in-variables Symmetric Regression - using R

Reduced major axis regression


The R output for the test of slope is:

> #Test whether slope of Y (log epg) on X (log tec) = 1 > slope.test(log10(vetbnt$epg), log10(vetbnt$tec)) $r [1] -0.6355416 $p [1] 0.1250410 $test.value [1] 1 $b [1] 0.6632173 $ci [,1] [,2] [1,] 0.3788287 1.161098 #Same test from first principles > a=log10(vetbnt$epg)-log10(vetbnt$tec) > b=log10(vetbnt$epg)+log10(vetbnt$tec) > cor.test (a,b,method = "pearson") Pearson's product-moment correlation data: a and b t = -1.8407, df = 5, p-value = 0.1250 alternative hypothesis: true correlation is not equal to 0 95 percent confidence interval: -0.9391316 0.2253864 sample estimates: cor -0.6355416