similar to: R-beta: Polynomials in lm/glm

In the version of R that I am running I have found two advertised features that don't appear to work correctly: Version 0.61.0 Alpha (December 21, 1997) (installed using r-base-0.61.0-2.i386.rpm) 1. mtext adj parameter is seriously offset to the right. For example: > par(oma=c(0,0,3,0)) > mtext("Try this", side=3, outer=T) # nothing is observed on x11 > mtext("Now

R-users, I would like to take advantage of R's mathematical typesetting capabilities in the graphical environment using text(..., expression(...)), however, I can't figure out how to include in the expression some evaluated function. For example, > x <- 1:8 > plot(1:10, 1:10) > text(5, 5, expression(sum(x[i], i == 1, length(x))) # would like "8"

R-users/developers, I am loosing tick marks that I add to a plot with axis() when plotting to the postscript device. They show up fine on the x11 device, and work with the postscript device when the default tickmarks are used (those added by plot()). I am using R-62.1 from the RedHat5.0 rpm's on i86 Linux. Do later snapshots correct this, or is this a running bug in R awaiting the

R-users/developers, I am loosing tick marks that I add to a plot with axis() when plotting to the postscript device. They show up fine on the x11 device, and work with the postscript device when the default tickmarks are used (those added by plot()). I am using R-62.1 from the RedHat5.0 rpm's on i86 Linux. Do later snapshots correct this, or is this a running bug in R awaiting the

Dear R-users, Is anyone successfully using leaps() and particularly subsets() (contributed function) in R? When I attempt to run them with modest matrices, R promptly faults and dumps the core. Also, how does one use subsets.formula() within subsets()? R : Copyright 1997, Robert Gentleman and Ross Ihaka Version 0.50 Alpha-4 (September 10, 1997) R-base-0.50.a4-1.i386.rpm

Has anyone had success getting R-unix postscript plots into powerpoint for the Mac? Mac powerpoint doesn't seem to like postscript, and conversions to tiff, jpeg, and gif, using the netpbm converters, have produced less than stellar results (i.e. bitmaps with unaliases pixels, sigh...). Thoughts? The next one I had was to use GIMP (this is a linux system) to clean it up, and it worked, but

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On 10/28/19 1:10 PM, Jason Gunthorpe wrote: ... > include/linux/mmu_notifier.h | 98 +++++++ > mm/Kconfig | 1 + > mm/mmu_notifier.c | 533 +++++++++++++++++++++++++++++++++-- > 3 files changed, 607 insertions(+), 25 deletions(-) > > diff --git a/include/linux/mmu_notifier.h b/include/linux/mmu_notifier.h > index 12bd603d318ce7..51b92ba013ddce

Hello, thank you all for your patience and time I am essentially trying to get disorganised data into long form for linear modelling. I have 2 dataframes "rec" and "book" Each row in "book" needs to be pasted onto the end of several of the rows of "rec" according to two variables in the row:" MRN" and "COURSE" which match. I have

How can ordinary polynomial coefficients be calculated from an orthogonal polynomial fit? I'm trying to do something like find a,b,c,d from lm(billions ~ a+b*decade+c*decade^2+d*decade^3) but that gives: "Error in eval(expr, envir, enclos) : Object "a" not found" > decade <- c(1950, 1960, 1970, 1980, 1990) > billions <- c(3.5, 5, 7.5, 13, 40) > #

On Thu, Nov 07, 2019 at 04:04:08PM -0500, Jerome Glisse wrote: > On Thu, Nov 07, 2019 at 08:11:06PM +0000, Jason Gunthorpe wrote: > > On Wed, Nov 06, 2019 at 09:08:07PM -0500, Jerome Glisse wrote: > > > > > > > > > > Extra credit: IMHO, this clearly deserves to all be in a new mmu_range_notifier.h > > > > header file, but I know that's extra

Dear list, This is quite a specific question requiring the package orthopolynom. This package provides a nice implementation of the Legendre polynomials, however I need the associated Legendre polynomial which can be readily expressed in terms of the mth order derivative of the corresponding Legendre polynomial. (For the curious, I'm trying to calculate spherical harmonics [*]).

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

Hi: I am using the package "KernSmooth" to do the local polynomial regression. However, it seems the function "locpoly" can only deal with univariate covaraite. I wonder is there any kernel smoothing package in R can deal with bivariate covariates? I also checked the package "lcofit" in which function "lcofit" can indeed deal with bivariate case. The

Dear All, I have found in the poly help this sentence: The orthogonal polynomial is summarized by the coefficients, which can be used to evaluate it via the three-term recursion given in Kennedy & Gentle (1980, pp. 343–4), and used in the predict part of the code. My question: which type of orthogonal polynomials are used by this function? Hrmite, legendre.. TIA Giovanni [[alternative HTML

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')

Hello all, thanks for your time and patience. I'm looking for a method in R to analyse the following data: Time to waking after anaesthetic for medical procedures repeated on the same individual. > str(mysurv) labelled [1:740, 1:2] 20 20 15 20 30+ 40+ 50 30 15 10 ... - attr(*, "dimnames")=List of 2 ..$ : NULL ..$ : chr [1:2] "time" "status" -

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

Buenas tardes, pido disculpas si mi consulta es demasiado elemental, pero actualmente encuentro una gran barrera para continuar mi trabajo si no lo solvento. Soy usuaria principiante de R, estoy trabajando con una base de datos climática <https://digital.csic.es/handle/10261/104742>que se encuentra en formato netcdf4 y necesito transformarla a la versión 3 con el fin de visualizarlo en un

From: Jason Gunthorpe <jgg at mellanox.com> 8 of the mmu_notifier using drivers (i915_gem, radeon_mn, umem_odp, hfi1, scif_dma, vhost, gntdev, hmm) drivers are using a common pattern where they only use invalidate_range_start/end and immediately check the invalidating range against some driver data structure to tell if the driver is interested. Half of them use an interval_tree, the others