Hi without data we can provide just basic help.
fit<-lm(Time~I(1/Requests)) shall give you hyperbolic fit. You can test if your data follow this assumption by plot(1/Requests, Time) which shall for straight line. anyway, when you want to provide data use dput(your.data) and copy console output directly to your mail. Petr > -----Original Message----- > From: r-help-boun...@r-project.org [mailto:r-help-bounces@r- > project.org] On Behalf Of Manoj Srivastava > Sent: Monday, April 08, 2013 4:08 AM > To: r-h...@stat.math.ethz.ch > Subject: [R] fitting a hyperbola to data points > > Hi, > > I am new to R, and I suspect I am missing something simple. > > I have a data set that performance data that correlates > request rate to response times > http://pastebin.com/Xhg0RaUp > There is some jitter in the data, but mostly it looks like a hockey > puck curve. It does not get converted into a straight line when I tried > log conversions, so it does not seem to be a power series relationship. > > My expectation is that the data will fit a curve that is a > hyperbola, but I don't know how to formulate that regression. How does > one fit data to a general function > AX^2 + Bxy + Cy^2 +D = 0 > > I have tried polynomial functions and inverse functions > lm2 = lm(Time ~ Requests + I(Requests^2) + I(Requests^3)) but that > does not appear to be close. > > Any pointers appreciated. > > manoj > > dat <- read.csv("perf.csv",header=TRUE) > plot (Time ~ Requests) > plot (Time ~ Requests, log="y") > plot (Time ~ Requests, log="x") > plot (Time ~ Requests, log="xy") > > > -- > To be intoxicated is to feel sophisticated, but not be able to say it. > George Carlin Manoj Srivastava <sriva...@acm.org> <http://www.golden- > gryphon.com/> 4096R/C5779A1C E37E 5EC5 2A01 DA25 AD20 05B6 CF48 9438 > C577 9A1C ______________________________________________ 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.
