One last question. I'm trying to use the rnorm() function to draw a distribution for my coefficient estimates. Let's say I have a model y* = a + b1x1. I have the coefficient estimate for b1 stored as b1 and the standard error estimate for b1 stored as s1. I run rnorm function as
a <- rnorm(1000,b1,s1) and I get NA values in the vector. If i dont use scalars it works fine. Is there a special way scalars are entered to make it work? I have also tried the dnorm command. -- View this message in context: http://n4.nabble.com/Help-Computing-Probit-Marginal-Effects-tp1571672p1572139.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
