search for: multipols

Have you ever worked in R with bivariate polynomials? How did you implement simple operators like addition/multiplication? I found a package called multipol that seems to support these kinds of operators but I do keep receiving error. Check for example the following snippet of code (you can copy & paste) require('orthopolynom') require('polynom') require('multipol')

...methods for "[" and "[<-" and I also need a print (or show) method and methods for arithmetic +- */^. In S4, an object of class "multipol" has one slot that holds an array. Objects of class "multipol" require specific arithmetic operations; a,b being multipols means that a+b and a*b are defined in peculiar ways that make sense in the context of the package. I can also add and multiply by scalars (vectors of length one). My impression is that S3 is perfectly adequate for this task, although I've not yet finalized the coding. S4 seems to be "o...

Hello List please find a new package, multipol, recently uploaded to CRAN. This package generalizes the polynom package (which handles univariate polynomials) to the multivariate case. A short article discussing the package will appear in the next issue of Rnews, Insha'Allah enjoy -- Robin Hankin Uncertainty Analyst and Neutral Theorist, National Oceanography Centre, Southampton

hits=1.0 tests=MANY_EXCLAMATIONS X-USF-Spam-Flag: NO Hi I am writing a package for multivariate polynomials ('multipols') using S3 methods. The package includes a Ops.multipol() function for the arithmetic methods; I would like to define some sort of user-specified Boolean option which, if set, would force results to be simplified as they are produced. Call this option "trim". Trimming a multipol...

I'm just curious, but wondering if there has been any work in making these algorithms available in R. They are aimed at accelerating matrix-vector products using approximation ideas, and might be useful in applications such as kernel machines, Gaussian processes/kriging. Thanks Mark Palmer Landscape Monitoring and Modelling CSIRO Mathematical and

Good Evening, I would like to work with multivariate polynomials (x and y variables). I know that there is a package called multipol but I am not sure that supports my needs. I use a function (in reality legendre.polynomials) which creates me the polynomials I want. For example the following returns > legendre.polynomials(2)[[2]] x (first order polynomial) I would like to calculate the

Hi everyone, I have a very quick question: Is there a ready-made function in R or any R packages to find the prime factorization of an integer? -- View this message in context: http://r.789695.n4.nabble.com/Prime-Factorization-tp2548877p2548877.html Sent from the R help mailing list archive at Nabble.com.

John, Thanks for enlightening us so we better understand. I won't argue with your wish to learn to do things in base R first. I started that way, myself, and found lots of the commands not particularly easy to fit into a single worldview. Many functions I read about were promptly forgotten, especially those without great documentation and not enough examples of real world usage. This is why

CRAN (and crantastic) updates this week New packages ------------ * bdoc (1.0) Michael Anderson http://crantastic.org/packages/bdoc This package contains a function that will classify DNA barcodes as well as a few test and reference data sets. * bdsmatrix (1.0) Terry Therneau http://crantastic.org/packages/bdsmatrix This is a special case of sparse matrices, used by coxme and

Rui: "f these two, diff is faster. But of all the solutions posted so far, Ben Bolker's is the fastest." But the explicit version of diff is still considerably faster: > D <- c(rep(1,10),rep(2,6),rep(3,2)) > microbenchmark(c(1L,diff(D)), times = 1000L) Unit: microseconds expr min lq mean median uq max neval c(1L, diff(D)) 3.075 3.198 3.34396