I am trying to extract significance levels out of a robcov+ols call. For background: I am analysing data where multiple measurements(2 per topic) were taken from individuals(36) on their emotional reaction (dependent variable) to various topics (3 topics). Because I have several emotions and a rotation to do on the topics, I'd like to have the results pumped into a nice table.
answer<-robcov(ols(emotion ~ topic,x=TRUE,y=TRUE),individual) >From the robcov help it warns me: >Adjusted ols fits do not have the corrected standard errors printed with >print.ols. Use sqrt(diag(adjfit$var)) to get this, where adjfit is the result >of robcov. So I can get to the standard error by: answer.se<-sqrt(diag(answer$var)) I can get to the coefficients by: answer.co<-coefficients(answer) I can get to the t-values by: answer.t<-coefficients(answer)/ sqrt(diag(answer$var))#t-value However, I can't figure out how to get to the significance (Pr>ltl). It is obviously calculating it because the call: answer provides it, but I can't figure out where it is getting it from or how it is calculating. thanks for any help. ldb ______________________________________________ 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.
