similar to: quantile regression: out of memory error

Hello, I'm not much of a programmer, and am trying to understand the workings of the function below called "RStatFctn" within this bootstrap procedure. RStatFctn is defined to have two arguments: "x", intended to be a data vector; and "d" intended to be an index (or so it looks to me). Later, "rnormdat" is created to be the data vector. However,

Hello, I am looking for a sample size function for samples sizes, to test proportions that are not binomial proportions. The proportions represent a ratio of (final measure) / (baseline measure) on the same experimental unit. Searches using RSeek and such bring multiple hits for binomial proportions, but that doesn't seem to fit my situation. Perhaps there's some standard terminology

Hello, I'm trying to install the package metRology from SourceForge. I save the zip file metRology_0.9-06.tar.gz to my Windows 7 machine, and try to install the package using the RGUI: Packages > Install packages from local zip files > metRology_0.9-06.tar.gz. There's no .zip extension, but R seems to go to work on the installation with a couple warning messages and one error.

Hello, I am not having success in a simple task. Using the effects package, I would like to add reference lines at probability values of 0.1 – 0.6 on a plot of the effects. The plot command works, but following up with an abline command produces the message “plot .new has not been called yet”, and of course the reference lines were not added. Looking through past R help lists, there was a

Hello, very basic question from a user who is baffled by the workings of computers in general When logging off R, a dialog box asked if I wanted to save my log, I chose yes. Then I noticed that the following message appeared in the Command Window Error in saveLog(currentLogFileName) : unused argument(s) ("C:/Documents and Settings/prewpj/My Documents/Data/Analyses/Healthcare/Hand Care

Hello, I’m trying to follow the syntax of a script from a journal website. In order to create a regression formula used later in the script, the regression matrix must have column names “X1”, “X2”, etc. I have tried to assign these column names to my matrix ScoutRSM.mat using a for loop, but I don’t know how to interpret the error message. Suggestions? Thanks, Paul

Hello All, Does anyone know of a package that performs constraint-based clusters? Ideally the package could perform "Time-Ordered Clustering", a technique applied in a recent journal article by Runger, Nelson, Harnish (using MS Excel). Quote, "in our specific implementation of constrained clustering, the clustering algorithm remains agglomerative and hierarchical, but observations

Hello, Can anyone explain why the following message appears for the function model.tables, where se=T? In the V&R MASS text, p.285 the se=T option works for a split plot example that seems similar to my operation. But the model.tables documentation, in the Arguments section for "se", states "should standard errors be computed?". "Warning: Warning in

>Hello, > >I'm trying to introduce myself to ggplot2. I'm using syntax from the help file, but pasting in my own data. I don't understand the error message I'm getting. Can anyone clue me in? A Google search of this error statement didn't return anything I could recognize as useful. > >Thanks, Paul > > >> str(d.AD) >'data.frame': 9

I'm attempting to change a data set by compressing rows into columns. Currently there are several rows that all have information about one "patient," but at different cycles. I'm trying to make each patient only have one row in the data set. Does anyone know a good way to combine data sets by factor level? I've separated the groups into different subsets by cycle, but not

Dear [R] people Could you please help with following data transformation. Any suggestions, hints, references and even guessing on performing any of the following steps are highly appreciated. Those transformations are crucial for my work. (n_, _n, j_, k_ signify numbers) SOURCE DATA: id cycle1 cycle2 cycle3 ? cycle_n 1 c c c c 1 m m m m 1 f f f f 2 m m m NA 2 f f f NA 2 c c c NA 3 a a

Hello, Does anyone know whether a Windows version of the Ratings package will be available? Thank you, Paul Prew CONFIDENTIALITY NOTICE: \ This e-mail communication an...{{dropped:11}}

Hello everybody I'm am trying to build a pdf out of the Rd files that i wrote for a package, so that I can attach it to my thesis. if i Run Rd2pdf (or Rd2dvi) I get this error massage: Hmm ... looks like a package Converting Rd files to LaTeX . Creating pdf output from LaTeX ... Error in texi2dvi("Rd2.tex", pdf = (out_ext == "pdf"), quiet = FALSE, : Running

Dear R community Recently, dear Henrique Dallazuanna literally saved me solving one problem on data transformation which follows: (n_, _n, j_, k_ signify numbers) SOURCE DATA: id cycle1 cycle2 cycle3 ? cycle_n 1 c c c c 1 m m m m 1 f f f f 2 m m m NA 2

Dear all, I would like to characterize the behavior of a certain product over its lifetime. The purpose is to compare the behavior of experimental versions of the product vs. a baseline version. It's known that the behavior of the product follows a roughly trapezoidal pattern: start-up effect where the performance ramps up, then steady state performance, finally a degradation at the end of

Hello all, I am unsure of how to interpret the output from a Generalized Estimating Equation analysis of an ordinal response. I hope someone can enlighten me. The analysis was done using package 'repolr'. The data consists of a Score on a 3-point scale from 56 Subjects after repeatedly washing their hands with soap. Two soap Products were tested, each panelist washed 10 times = 10

Hello Andy, I want to use the existing scheduling models to estimate performance on a subtarget. For that, I am looking at the new llvm-mca tool where they only use SchedReadWrite and state that not supporting Instruction Itineraries is a limitation. I have also read that the Instruction Itineraries allow to model certain things which cannot be represented in the SchedReadWrite however, I am

Hello, I'm trying to use the vcd package to analyze survey data. Expert judges ranked possible features for product packaging. Seven features were listed, and 19 judges split between 2 cities ranked them. The following code (1) works, but the side-by-side plots for Cities PX, SF are shrunk too much. Stacking PX on top of SF would make for a better plot. (I could switch the order of

  Hi r-users,   I would like to use gev and my data (annual rainfall ) is as follows:   > head(dat,20) A B C D E F G H I J 1 45.1 41.5 58.5 50.1 46.0 49.1 37.7 49.1 59.8 54.0 2 50.3 39.8 49.4 56.4 49.4 48.8 42.1 49.8 49.4 58.3 3 41.7 39.3 44.6 39.1 35.7 41.5 40.8 40.8 38.5 45.6 4 50.7 33.9 48.4 28.2 35.5 39.1 61.4 17.0 30.7 38.3 5 39.3 30.6 46.9 23.8 25.8

Hi! As per Thomas' advice, I upgraded R by using "update.packages()" and got the following warning messages: Warning messages: 1: installation of package 'lmtest' had non-zero exit status in: install.packages(update[, "Package"], instlib, contriburl = contriburl, 2: installation of package 'quadprog' had non-zero exit status in: install.packages(update[,