similar to: Bug in parse(text = <long polynom>) (PR#7022)

Please, I'm a beginner with the R language. I'm looking for a function to compute a Polynomfit for simple x-y Data. Who can help? Many Greetings E.A. Welge -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the

I'm one of the many who is far more interested in the reason for the request than in the numerical method to use. The way I see it, the methodology of, say, polyroot() suffices in a mathematical sense. If your coefficients are mathematically exact (as opposed to measured values), the near-singularities and such don't really matter, assuming infinite precision math. So, what

Dear R-users, is there any package that allows for a division of two polynomials? Regards, M. Fischer Dr. Matthias Fischer Friedrich-Alexander-Universit?t Erlangen-N?rnberg Lehrstuhl f?r Statistik und ?konometrie Lange Gasse 20 90403 N?rnberg Telefon: 0911 / 5302-271 Telefax: 0911 / 5302-277 E-Mail: Matthias.Fischer at wiso.uni-erlangen.de

I've packaged Bill's polynom add-on for R (i.e., converted man pages and took care of TITLE and INDEX). Apart from the missing poly() everything should be fine ... The package can be found in the CRAN src/contrib area. I've also added it to the Debian ix86 r-contrib package. -k =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=- r-devel mailing list --

Dear R people: I am trying to download the package polynom to R version 1.0.1.1. on Windows. Here are my commands and output: > install.packages("polynom",lib="c:\rw1011\library",CRAN="http://www.r-project.org/src/contrib/") Error in start[k]:(start[k + 1] - 1) : NA/NaN argument In addition: Warning message: Download had nonzero exit status in:

Hello, I have 3 columns : a, b and a*b I would like to find the pair (a,b) so that a*b is the minimum but not from the points I measured but from the fit of the curve (I have more points that the ones given below but I fit only on this part because I know that the minimum a*b is in this interval). I thought doing it this way : - to fit a*b=f(a) abfit<-lm(ab ~ poly(a,8,raw=T)) - to use the

Hi, I can not comprehend the linear fitting results of polynoms. For example, given the following data (representing y = x^2): > x <- 1:3 > y <- c(1, 4, 9) performing a linear fit > f <- lm(y ~ poly(x, 2)) gives weird coefficients: > coefficients(f) (Intercept) poly(x, 2)1 poly(x, 2)2 4.6666667 5.6568542 0.8164966 However the fitted() result makes sense: >

Thanks everyone for your feedback, especially Mark. I now have the ALL the files I need. My order still stands for the $8.00 product from CISCO but the CP7960 dealer sent me all the files. Now I will move on to completeing the setup of the TFTP server. Thanks again -----Original Message----- From: Michael Loftis [mailto:mloftis@wgops.com] Sent: Friday, February 18, 2005 7:51 PM To:

Hi I'm using rsync 3.0.3 on a NAS. In the parameter list I use --timeout=1800. However sometimes I get very big timeout times like this one: io timeout after 12220 seconds -- exiting rsync error: timeout in data send/receive (code 30) at io.c(239) [sender=3.0.3pre1] rsynd.conf on the receiving side only defines modules, no timing parameters. How can that happen? What can I do to prevent

Hi, I''m forwarding copy of the message to lartc group too as it may be of general interest. Regarding your case I''ll try to summarize our conversation. You asked me for explanation of an error message. I answered and asked for basic informations. You followed with msg that there is no other info. I directed you where to find it and reasked basic config info again. Other mails

hi there, can anyone help me on the topic of frag polynoms? i just heard of a friend of mine, that i could build in a functioon called fragpoly (he was talking of such a function in the 'stata' language) in order to improve my process of finding an optimal linear model. instead of trying a vast amount of transformed inputdata to find the best fit and then step backwards down to e.g.

Dear Fellows: Thanks you all for your great help. Without your guidance I'd not have been able to get this far. So this is the current problem: I have a series (dataframe with 1 column and 283 rows, all with numbers (no NA's) that go from 0 to 3 or 4 with up to 14 decimals. They indicate a percentage. I have to apply a formula to that dataframe that uses 4 variables I have