First of all, thanks a lot for this very helpful package!
I am dealing with a quite specific issue. I am working with data of employees nested in teams and therefore want to use clustered standard errors. Hence, I fit the polynomial model on my own and use the resulting coefficients, standard errors, and covariances in RSA.ST() to get the response surface values.
However, when I plot the results using plotRSA(), there is no way to add the SEs and COVs and therefore the displayed response surface values a1-a5 do not contain a star indicating a significant value. Is there a way to modify plotRSA() to display a1-a5 with the stars?
I suspect the problem is that in line 331 of plotRSA.R the functions calls RSA.ST() but without SEs and COVs. I tried to modify plotRSA() to accept SEs and COVs as input and use them in line 331 but it did not work. Did I look at the wrong part of the code?
Thanks a lot!
First of all, thanks a lot for this very helpful package!
I am dealing with a quite specific issue. I am working with data of employees nested in teams and therefore want to use clustered standard errors. Hence, I fit the polynomial model on my own and use the resulting coefficients, standard errors, and covariances in
RSA.ST()to get the response surface values.However, when I plot the results using
plotRSA(), there is no way to add the SEs and COVs and therefore the displayed response surface values a1-a5 do not contain a star indicating a significant value. Is there a way to modifyplotRSA()to display a1-a5 with the stars?I suspect the problem is that in line 331 of
plotRSA.Rthe functions callsRSA.ST()but without SEs and COVs. I tried to modifyplotRSA()to accept SEs and COVs as input and use them in line 331 but it did not work. Did I look at the wrong part of the code?Thanks a lot!