First, just want to say that i love this! So thanks for the work.
Maybe you can add a little note for the section on correlations:
There is a difference between corr(x,y) and lm(y ~ 1 + x). Correlation is commutative corr(x,y) = corr(y,x) but lm(y ~ 1 + x) ≠ lm(x ~ 1 + y). It's especially relevant when both x and y contain measurement error.
First, just want to say that i love this! So thanks for the work.
Maybe you can add a little note for the section on correlations: There is a difference between
corr(x,y)andlm(y ~ 1 + x). Correlation is commutativecorr(x,y) = corr(y,x)butlm(y ~ 1 + x) ≠ lm(x ~ 1 + y). It's especially relevant when bothxandycontain measurement error.A good reference for this is here: https://elifesciences.org/articles/00638 The
tlspackage in R provides one option for computing this.