Hi List! I’m using regsimq() from the “lmomRFA”-package to calculate error bounds for diverse distributions. For example:
regsimq(gumfit$qfunc, nrec = lmom.data$n, f = lcdfgum, boundprob = c(0.025, 0.975)) Several times I got this error massage: Fehler in quantile.default(ou, probs = boundprob, type = 6) : missing values and NaN's not allowed if 'na.rm' is FALSE So my question is, can I change 'na.rm' = FALSE into 'na.rm' = TRUE? And how can I go so? Thank you for your help, Tonja ___________________________________________________________ nur 19,99 ¿/mtl.!* http://web.de/DSL-Doppel-Flatrate/ ______________________________________________ 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.
