similar to: Restricted Domain Optimization Problem

Hi, I posted a message earlier entitled "How to fit a line through the "Mountain crest" ..." I figured loess is probably the best way, but it seems that the problem is the robustness of the fit. Below I paste an example to illustrate the problem: tmp=rnorm(2000) X.background = 5+tmp; Y.background = 5+ (10*tmp+rnorm(2000)) X.specific = 3.5+3*runif(1000);

The following gives two functions for producing distribution graphs: distribution-graph produces a single graph, and multiple.distribution.graph produces a number of graphs side by side. Regards, Tore Wentzel-Larsen statistician Centre for Clinical research Armauer Hansen house Haukeland University Hospital N-5021 Bergen tlf +47 55 97 55 39 (a) faks +47 55 97 60 88 (a) email

Hi all, I am a beginner trying to use R to work with large amounts of oceanographic data, and I find that computations can be VERY slow. In particular, computational speed seems to depend strongly on the number and size of the objects that are loaded (when R starts up). The same computations are significantly faster when all but the essential objects are removed. I am running R on a machine

I am using package ks() to build 3D representations of bird territories and calculate territory volume from spatial data (simply x, y, and z coordinates). What I want to do is determine at what sample size (# locations collected) does the territory volume stop increasing. This should give me an idea of the number of points needed for future seasons. So I have a couple of birds each with 200

R-help - This code iterates over a function with 2 free parameters to find a list of values (which are the number of incorrect predictions for a computational model). I want to find the values of i,e when there is the minimum number of incorrect predictions. In other words, the value of "i" and "e" when variable "thesum" is at the lowest possible number. The

Dear R list, Can anyone help with a plotting question? I'm trying to display some data on a plot and I've almost got the format I need (see code below), but 2 things I can't get: 1. How to get "Jan","Feb","Mar" on the x=axis instead of 1:3? 2. How to get "T"s on the end of my error bars like you have in standard scientific plots? Any comments

Dear R users I'm having problems in putting special characters (like 佱, 併, 佺 ) in my plots, as much in titles, as in axis names, as in legend...when I save them as a pdf document. They don't appear... I don't know if it is because I'm using a linux platform... The script is the following: library(grDevices) jpeg(file="Fronteira/FronteiraNova.jpeg",

I'm trying to get an Elographics serial touchscreen working with CentOS 6.2 using the xorg-x11-drv-elographics driver. Touching the screen will wake it up if the screen has blanked, but it never moves the cursor on the screen. There is also a keyboard and mouse connected while I'm trying to get this going and they are loaded automatically and using the evdev driver. Here are the relevant

Full_Name: TOBY MARTHEWS Version: 2.1.1 OS: Windows XP Submission from: (NULL) (139.133.7.38) I think you should have better examples on the ?plot man page, if you don't mind me saying. Can I suggest something like this, which would probably stop so many emails to the R help about how to put on error bars Cheers, Toby M ****************************** xvalsT1=1:3 yvalsT1=c(10,20,30)

> On Dec 8, 2017, at 6:16 PM, David Winsemius <dwinsemius at comcast.net> wrote: > > >> On Dec 8, 2017, at 4:48 PM, Ashta <sewashm at gmail.com> wrote: >> >> Hi David, Ista and all, >> >> I have one related question Within one group I want to keep records >> conditionally. >> example within >> group A I want keep rows that

You could make numeric vectors, named by the group identifier, of the contraints and subscript it by group name: > DM <- read.table( text='GR x y + A 25 125 + A 23 135 + A 14 145 + A 35 230 + B 45 321 + B 47 512 + B 53 123 + B 55 451 + C 61 521 + C 68 235 + C 85 258 + C 80 654',header = TRUE, stringsAsFactors = FALSE) > > GRmin <- c(A=15, B=40, C=60) > GRmax <-

hi, new to R and using the car package to do some scatterplots with ellipses hoping to add the area and center points of each ellipse to the legend? looking for some direction / ideas.... here is the script, the data is where golf shots end up by club. x (dispersion), y (distance), group (Club) thanks, sam ## usage: Rscript shotScatter.R infile outfile level1 level2 minX maxX minY maxY

Signed-off-by: Tobias Klausmann <tobias.johannes.klausmann at mni.thm.de> --- src/gallium/drivers/nouveau/nvc0/nvc0_context.h | 7 +- src/gallium/drivers/nouveau/nvc0/nvc0_program.c | 2 +- src/gallium/drivers/nouveau/nvc0/nvc0_screen.c | 20 ++-- src/gallium/drivers/nouveau/nvc0/nvc0_screen.h | 3 + src/gallium/drivers/nouveau/nvc0/nvc0_state.c | 27 +++--

Signed-off-by: Tobias Klausmann <tobias.johannes.klausmann at mni.thm.de> --- src/gallium/drivers/nouveau/nvc0/nvc0_context.h | 7 +- src/gallium/drivers/nouveau/nvc0/nvc0_program.c | 2 +- src/gallium/drivers/nouveau/nvc0/nvc0_screen.c | 20 ++-- src/gallium/drivers/nouveau/nvc0/nvc0_screen.h | 3 + src/gallium/drivers/nouveau/nvc0/nvc0_state.c | 27 ++++-

>>>>> "Llu?s" == <Lluis.Hurtado at uv.es> writes: Llu?s> Dear all, Llu?s> I am facing a strange problem with text files formats. Llu?s> I am currently using a C++ code named voro++ (http://math.lbl.gov/voro++/). This code accepts text files with four columns: Llu?s> <id> <x> <y> <z> Llu?s> where id is

Dear all, I am facing a strange problem with text files formats. I am currently using a C++ code named voro++ (http://math.lbl.gov/voro++/). This code accepts text files with four columns: <id> <x> <y> <z> where id is an identification number and x,y,z are the coordinates of a point in a 3D space. The input file, name it myfile_cpp.txt, is generated by another C++ code

hi, i am using this script on our webserver to plot data / draw ellipses for a flex movie... would like to add the areas of the ellipses to another legend just like the means for the distance. the data looks like: x (dispersion), y (distance), Club (name of the club for grouping) thanks, sam ## usage: Rscript nikeScatter.R infile outfile level1 level2 minX maxX minY maxY ## load

I think the code is part of the RTAQ package but is not included in it, as I obtained it from https://r-forge.r-project.org/scm/viewvc.php/pkg/RTAQ/R/HAR_model.R?view=markup&root=blotter&sortby=author&pathrev=1028. It is not my code and I make no claim to other's good work, and apologize if I should even be posting it I am not sure, but in the transform function it allows to

Commit eb168e26aa63f11a47d70c4555cae30691a2cd57 changed the way pipe->clear works so I figured I'd try to make an updated version, so below is the diff - my concerns/uncertainties should be contained in the comments. Or maybe you want to do it the way NV40 does it, just calling surface_fill through a utility function (althoug this does currently seem to only clear one color buffer) .

hi, i am getting an error when calling the impute.knn function (see the screenshot below). what is the problem here and how can it be solved? screenshot: ################## *** caught segfault *** address 0x513c7b84, cause 'memory not mapped' Traceback: 1: .Fortran("knnimp", x, ximp = x, p, n, imiss = imiss, irmiss, as.integer(k), double(p), double(n), integer(p),