Dear R-users, I am running a mixed effect model on a written corpus. When I check for collinearity, I get a value of 35 for condition number when my predictors are entered as names then transformed as numeric (the values are 1 and 2 for two level predictors after the transormation). However, when I enter the predictors as factors and assign levels of 0 and 1 instead of names (and convert them as numeric), I get a condition number of 12.
For the same data, depending on how I code the predictors, I either have moderate or important collinearity. What shall I do? Which coding is more acceptable? Thanks very much in advance. Yours, Claire Delle Luche Laboratoire Dynamique du Langage 14, avenue Berthelot 69 007 Lyon France _______________________________________________ R-lang mailing list [email protected] http://pidgin.ucsd.edu/mailman/listinfo/r-lang
