similar to: Non-linear "linear" models?

I'm a bit confused about the anova/aov functions. Both seem to rely on data models, where the relationship between the dependent variables and the independent variables can be expressed as a formula. In what I am trying to do, all of my independent variables are qualitative, not quantitative. For example, for each of two options, "option A" and "option B" I have

Dear Members of the Help List, Honestly, I feel a little bit stupid - I would like to do something rather simple: fit a non linear model to existing data, to be more precise I wanted to start with simple higher order polynomials. Unfortunately, I do not quite understand the examples in the helpfiles for the nlm, nls and nlsModel commands. Could anyone please provide a simple example to get me

hi: could someone please point me to a function that allows me to solve general non-linear functions? > irr.in <- function(r, c1, c2, c3 ) { return(c1+c2/(1+r) + c3/(1+r)^2); } > solve.nonlinear( irr.in, -100, 60, 70 ); 0.189 If someone has written an irr function, this would be helpful, too---though not difficult to write, either. thanks for any pointers. Regards, /iaw

Hi folks, I have a dataset from a trial measuring the subjects' pupils. There are many measurements, all of which must be analysed in a similar fashion; so if I get the analysis right for one of them, I've got them all. For simplicity, let us call any measurement we may be interested as "response". The study design is an unbalanced latin square, with 5 periods, 5 treatments and

Hello! Is there a simplier way in R to get a nonlinear regression (like nls) for a surface? I have 3D data, and it is definitely not a linear surface with which it would fit the best. Rather sg like z = a + f(x) + g(y) where probably both f and g are polinomes (hopefully quadratic). Szilvia -- View this message in context:

<ivo_welch-rstat8783@mailblocks.com> writes: > PS: I am still looking for an R wizard who would be interested in > coauthoring an "R cookbook" ala the "perl cookbook" with me... I think I've said it before, but I think such a book ought to coauthor Paul Johnson, whether or not he does any work beyond the Rtips web pages. A few of the tips may need a bit of

This has been in the R-admin manual for a least a week, and I reported it here earlier than that. R 2.0.0 alpha does not allow f2c on 64-bit platforms. It's all been dealt with quite awhile ago .... On Sun, 12 Sep 2004 ivo_welch-rstat8783@mailblocks.com wrote: > > from the gentoo folks, on f2c problems with R on 64bit platforms: > > "Config and me finally found the

You definitely need to have separate decoders for separate streams. It has been mentioned before that inter-frame state is critical to achieving the level of quality for bandwidth that Speex offers. This differentiates it from iLBC, a codec whose claim to fame is that it treats each frame independently. I'm not sure what's hard about maintaining multiple decoder states, unless you are

Hi, You just sent an email to my glenn@popco.com account, which is now being managed by my Mailblocks spam-free email service. (If you didnt recently send a message to me, please see the Note below*.) Because this is the first time you have sent to this email account, please confirm yourself so you'll be recognized when you send to me in the future. It's simple. To prove your message

On Sat, 21 Aug 2004 ivo_welch-rstat8783@mailblocks.com wrote: > > peter/brian: thank you for the help. i can now report that gentoo > amd64 can compile R just fine, too; it requires the f77 USE flag and a > gcc compiler rebuild first, though. I also went to gcc 3.4.1. my > segfault troubles earlier were caused by my use of f2c. > > suggestion: would it be possible to

#I am trying to understand how R fits models for contrasts in a #simple one-way anova. This is an example, I am not stupid enough to want #to simultaneously apply all of these contrasts to real data. With a few #exceptions, the tests that I would compute by hand (or by other software) #will give the same t or F statistics. It is the contrast estimates that R produces #that I can't seem to

Dear R people: I wish to switch from SPSS to R, but there is one particular type of ANOVA design that cannot be done in R. Or more likely, it can be done, but it is nowhere documented. The problem is typical for psychologists: You have a repeated measures design with different groups of subjects. Now, this can be done with the aov command, but the number of subjects in both groups must be

Hi All, I need to evaluate a series expansion using Legendre polynomials. Using the 'orthopolinom' package I can get a list of the first n Legendre polynomials as character strings. > library(orthopolynom) > l<-legendre.polynomials(4) > l [[1]] 1 [[2]] x [[3]] -0.5 + 1.5*x^2 [[4]] -1.5*x + 2.5*x^3 [[5]] 0.375 - 3.75*x^2 + 4.375*x^4 But I can't figure out how to

To R-helpers, R offers the polyroot function for solving mentioned equations iteratively. However, Dr Math and Mathworld (and other places) show in detail how to solve mentioned equations non-iteratively. Do implementations for R that are non-iterative and that solve mentioned equations exists? Regards, Mads Jeppe

Hi Folks! Im using the function poly to generate orthogonal polynomials, but Id like to see the actual polynomials so that I could convert it to a polynomial in my original variable. Is that possible and if so how do I do it? /E

Looking to the wonderful statistical advice that this group can offer. In behavioral science applications of stats, we are often introduced to coefficients for orthogonal polynomials that are nice integers. For instance, Kirk's experimental design book presents the following coefficients for p=4: Linear -3 -1 1 3 Quadratic 1 -1 -1 1 Cubic -1 3 -3 1 In R orthogonal

Thanks for bringing up this aspect, Nicholas. I seem to recall that specific hardware has a problem with certain compression levels, but I cannot recall whether that was limited to just encoding, or decoding as well. It could very well be true that I am conflating my vague memory of encoder limitations with decoder limitations. It does seem to be that the oppo BDP-95 is exhibiting

Dear R wizards: under R-2.1.0: eargs <- 3:5; line <- paste(c("echo A B", eargs)); cat("executing from R: '", line, "'\n"); system(line); Oddly, only "A" and "B" are echoed, not the eargs. I had hoped that line would be one string at this point, and for printing this seems to be true. However, unlist(line) still gives me the 4

hi: where would I find facilities to draw circles, ovals, and semicircles? (or should I construct them myself using curve?) regards, /ivo

I'm trying to find a way to fit a polynomial of degree n in x and y to a set of x, y, and z data that I have and obtain the coefficients for the terms of the fitted polynomial. However, when I try to use the surf.ls function I'm getting odd results. > x <- seq(0, 10, length=50) > y <- x > f <- function (x, y) {x^2 + y} > library(spatial) > test <-