CI for difference between independent R square coefficients

May 25, 2017

(This article was first published on R code – Serious Stats, and kindly contributed to R-bloggers)

In an earlier blog post I provided R code for a CI of a difference in R square for dependent and non-dependent correlations. This was based on a paper by Zou (2007). That paper also provides a method for calculating the CI of a difference in independent R square coefficients based on the limits of the CI for a single R square coefficient. I’ve also been experimenting with knittr and unfortunately haven’t yet worked out how to merge the R markdown output with my blog template, so I’m linking to RPubs for convenience.

You can find the function and a few more details here.



Filed under: comparing correlations, confidence intervals, R code, serious stats Tagged: confidence intervals, R, R code, software, statistics

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