It is important to check for lack of fit of the categorized variable. One way to do this is to test for the additional predictive ability of the original continuous variable after adjusting for its categorized version. It is very uncommon for a categorized continuous variable to fit well, because its assumed discontinuities seldom exist in nature and most relationships are not piecewise flat. Frank
levanovd wrote > Or even simpler (no need to specify labels): > > x<-runif(100,0,100) > u <- cut(x, breaks = c(0, 3, 4.5, 6, 8, Inf), labels = FALSE) ----- Frank Harrell Department of Biostatistics, Vanderbilt University -- View this message in context: http://r.789695.n4.nabble.com/Convert-continuous-variable-into-discrete-variable-tp3671032p4665699.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.
