[R] How to decide " weight" in WLS model in R ?

Hi, I would like to know how to decide the "weight" in a WLS model in R? For example, In the" pipeline " data from faraway, I try to fit a regression model Lab ~ Field (non-constant variance). I wish to use weights to account for the non-constant variance. So how to decide the weight in the WLS m

[R] measure of goodness of fit for the model without an intercept

Hi, When I fit the regression model without an intercept term, R-squared tends to much larger than the R-squared in the model with an intercept. So in this case, what�s a more reasonable measure of the goodness of fit for the model without an intercept? Thanks a lot!! Yan [[alter

[R] Help with a for complex for loop that looks into another data frame

rank by rank_mag where ls_flag is NA. Assign ls_flag = 1. Then run the summary again, the NAs will be 1, and the sum of ls_flag will be 1. Then it should go into master_df_ex again, and assign a -1 to line 4. Then the summary will have 0 and 0 and this date should be done. I hope that makes