[R] Curve Fitting/Regression with Multiple Observations
Greg.Snow at imail.org
Sat May 1 01:41:35 CEST 2010
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
greg.snow at imail.org
> -----Original Message-----
> From: Kyeong Soo (Joseph) Kim [mailto:kyeongsoo.kim at gmail.com]
> Sent: Friday, April 30, 2010 5:24 PM
> To: Greg Snow
> Cc: r-help at 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.
> On Fri, Apr 30, 2010 at 11:35 PM, Greg Snow <Greg.Snow at imail.org>
> >> -----Original Message-----
> >> From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-
> >> project.org] On Behalf Of Kyeong Soo (Joseph) Kim
> >> Sent: Friday, April 30, 2010 4:10 AM
> >> To: kMan
> >> Cc: r-help at 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
> >> list are so cynical (or skeptical?) and in some sense done in a
> >> 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
> >> 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
> > --
> > Gregory (Greg) L. Snow Ph.D.
> > Statistical Data Center
> > Intermountain Healthcare
> > greg.snow at imail.org
> > 801.408.8111
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