I did not understand enough of the rest of your question to give any better response than others have given.
Looking back at your previous posts, there is one suggestion that I can make that may help. You can use the approx or approxfun functions to approximate an inverse, just generate a bunch of x,y pairs from your function, then feed them to approx while switching x and y. Not an exact inverse, but if you give it enough points then it will be close. -- Gregory (Greg) L. Snow Ph.D. Statistical Data Center Intermountain Healthcare greg.s...@imail.org 801.408.8111 > -----Original Message----- > From: Kyeong Soo (Joseph) Kim [mailto:kyeongsoo....@gmail.com] > Sent: Friday, April 30, 2010 5:24 PM > To: Greg Snow > Cc: r-help@r-project.org > Subject: Re: [R] Curve Fitting/Regression with Multiple Observations > > I have already learned a lot from the list, both technical and not, > and cannot thank enough for those valuable suggestions. In fact, as > said in my previous posts, I got really critical help and advices, > which really addresses the issues I have. > > By the way, there is one point or two in your post I agree on, but I > am not sure why you just pointed out side issues (by snipping a part > of my saying) without touching the main topic of this thread at all. I > can go on but won't because arguing for the sake of argument is of no > value to anyone in this thread. > > It would have been better if you could have focused on the topic and > provided some technical and practical information which I could learn > from and be very thankful for. > > Regards, > Joseph > > On Fri, Apr 30, 2010 at 11:35 PM, Greg Snow <greg.s...@imail.org> > wrote: > > > >> -----Original Message----- > >> From: r-help-boun...@r-project.org [mailto:r-help-boun...@r- > >> project.org] On Behalf Of Kyeong Soo (Joseph) Kim > >> Sent: Friday, April 30, 2010 4:10 AM > >> To: kMan > >> Cc: r-help@r-project.org > >> Subject: Re: [R] Curve Fitting/Regression with Multiple Observations > > > > [snip] > > > >> By the way, I wonder why most of the responses I've received from > this > >> list are so cynical (or skeptical?) and in some sense done in a > quite > >> arrogant way. It's very hard to imagine that one would receive such > >> responses in my own areas of computer simulation and optical > >> communications/networking. If a newbie asks a question to the list > not > >> making much sense or another FAQ, that is usually ignored (i.e., no > >> response) because all we are too busy to deal with that. Sometimes, > >> though, a kind soul (like Gabor) takes his/her own valuable time and > >> doesn't mind explaining all the details from simple basics. > > > > In my experience with this list, and others, the perceived level of > cynical/skeptical/arrogant answers has more to do with the reader than > with the writer. If you want to be offended, you will find things to > be offended about even when none was intended. If you look for help > and useful responses (follow the posting guide) and are thankful for > what you learn, you will learn more and be bothered less. > > > > R-help is a mixture of different levels and cultures. In framing > responses it is hard to know what the other person may find offensive > (I was once yelled at and chewed out quite thoroughly for truthfully > answering "no" when asked if I drink coffee). > > > > Most responders on this list (actually I would say all, but there > might be an exception that I have not noticed) are trying to be > helpful, there is just a large variability in the tones of the > responses. > > > > -- > > Gregory (Greg) L. Snow Ph.D. > > Statistical Data Center > > Intermountain Healthcare > > greg.s...@imail.org > > 801.408.8111 > > > > > > > > ______________________________________________ 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.