Hello, i have the following data:
x=c(0,0.02,0.03,0.04,0.05,0.06,0.07,0.08,0.09,0.1,0.11,0.12,0.13,0.14,0.15,0.16,0.17,0.18,0.19,0.2,0.21,0.22,0.23,0.25,0.26,0.27,0.46,0.47,0.48,0.49) y=c(0.48,0.46,0.41,0.36,0.32,0.35,0.48,0.47,0.55,0.56,0.54,0.67,0.61,0.60,0.54,0.51,0.45,0.42,0.44,0.46,0.41,0.43,0.43,0.48,0.48,0.47,0.39,0.37,0.32,0.29) and tried to get piecewise linear regression. Doing a simple spline smoothing gives the basic shape of the expected curve: plot(x,y) lines(smooth.spline(x, y), lty=2, col = "red") Now I tried to do rqss. But what I got was only a straight line and nothing appropriate. No parameter change did help. Can anyone tell me what's wrong with this approach? library(quantreg) fit <- rqss(y ~ qss(x)) plot(fit) points(x,y) lines(smooth.spline(x, y), lty=2, col = "red") Thank You in advance. ______________________________________________________ GRATIS für alle WEB.DE-Nutzer: Die maxdome Movie-FLAT! Jetzt freischalten unter http://movieflat.web.de ______________________________________________ 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.
