Hi, I am trying to run th mclust package on a variable "Tuberculin indurations" recorded as mm. The file has only one variable. When I run the package I get NULL value for mu and sigma. Can anybody say why?
This is the program: library("mclust") mc<-Mclust(x.trab,G=1:9,warn=TRUE) mc mc$mu sqrt(mc$sigmasq) and the output I get is > library("mclust") > mc<-Mclust(x.trab,G=1:9,warn=TRUE) There were 11 warnings (use warnings() to see them) > mc best model: unequal variance with 3 components > mc$mu NULL > sqrt(mc$sigmasq) Error in sqrt(mc$sigmasq) : Non-numeric argument to mathematical function > warnings() Warning messages: 1: In meV(data = data, z = z, prior = prior, control = control, ... : sigma-squared falls below threshold 2: In mclustBIC(data = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, ... : there are missing groups 3: In meV(data = data, z = z, prior = prior, control = control, ... : sigma-squared falls below threshold 4: In mclustBIC(data = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, ... : there are missing groups 5: In meV(data = data, z = z, prior = prior, control = control, ... : sigma-squared falls below threshold 6: In mclustBIC(data = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, ... : there are missing groups 7: In meV(data = data, z = z, prior = prior, control = control, ... : sigma-squared falls below threshold 8: In mclustBIC(data = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, ... : there are missing groups 9: In meV(data = data, z = z, prior = prior, control = control, ... : sigma-squared falls below threshold 10: In mclustBIC(data = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, ... : there are missing groups 11: In meV(data = data, z = z, prior = prior, control = control, ... : sigma-squared falls below threshold Please help. Basilea Watson Biostatistician Tuberculosis Research Centre, India [[alternative HTML version deleted]] ______________________________________________ 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.