similar to: Question about removing missing data rows in the qplot

Why can it not find my object? What am i missing here? Here is my code: require ''rexml/document'' include REXML # classes to represent the objects and relationships in the xml file class Article attr_accessor :id, :post, :archive, :ntype, :head, :blurb, :body, :fblurb, :fimage, :att, :source, :copy, :brand end # the base parser class BaseXMLParser def initialize(filename)

Hello...i want to find the empirical rate for type 1 error using fixed trimmed mean. To make it easy, i'm referring to journal given by this website http://www.academicjournals.org/ajmcsr/PDF/pdf2011/Yusof%20et%20al.pdf. I already run the programme and there is no error in it but i got zero for the empirical rate of type 1 error. The empirical rate for the type 1 error given in the journal

Hello, I have a problem concerning estimation of GLMM. I used methods from 3 different packages (see program). I would expect similar results for glmm and glmmML. The result differ in the estimated standard errors, however. I compared the results to MASS, 4th ed., p. 297. The results from glmmML resemble the given result for 'Numerical integration', but glmm output differs. For the

Hello R-helpers, I want to ask your opinion since I am not so sure how to do it. This is regarding one part of my paper project and my situation is: Stage I I have 2 groups and for each group I need to compute the following steps; i) Generate 3 random numbers from normal distribution and square them. ii) Repeat step 1 for 15 times and at the end I will get 15 random numbers. I already done

Hi Guys! A simple question.. I never worked with ACL's and since my costumer want some access levels for some sub-foldes in shares, I am reading some manuals about that.. But.. Before apply some testings, I need some advices about this.. Here is my question... Parent folder (share): FOLDER Sub-folder1: PROJETC1 Sub-folder2: PROJECT2 User1: DIRECTOR Group: Director/Projects User2: Employee1

Hello, I haven't found errors in your code. I implemented the test in the paper (the first, fixed symetric mean) and it also gives me zero Type I errors, when alpha = 0.05. Try to see the value of min(pv) or to plot the histogram of 'pv', hist(pv) and you'll see that there are no significant p-values, at that level. Anyway I'll continue to look at it, but my first

Dear all, I have tried to calculate a GLMM fit with lmer (lme4) and glmmPQL (MASS), I also used glm for comparison. I am getting very different results from different functions, and I suspect that the problem is with our dataset rather than the functions, but I would appreciate help in deciding whether my suspicions are right. If indeed we are attempting the wrong type of analysis, some

Dear R users, I'm hoping that more experienced users will be able to assist me in examining the model fit of a mixed generalised linear model. The example using the data 'bacteria' within the MASS package will hopefully illustrate what I would like to acheive; library(MASS) library(nlme) attach(bacteria) # y being output and the trt - treatment group being an explanatory variable.

Hi, I was wondering if I might be able to ask some advice about doing residual plots for the lmer function in the lme4 package. Our group's aim is to find if the expression staining of a particular gene in a sample (or "core") is related to the pathology of the core. To do this, we used the lmer function to perform a logistic mixed model below. I apologise in advance

Dear R users I encounter a problem when i perform a generalized linear mixed model (binary data) with the lmer function (package lme4) with R 2.1.0 on windows XP and the latest version of package "lme4" (0.96-1) and "matrix" (0.96-2) both options "PQL" and "Laplace" for the method argument in lmer function gave me the same results (random and fixed effects

This is a summary and extension of the thread "GLMM (lme4) vs. glmmPQL output" http://maths.newcastle.edu.au/~rking/R/help/04/01/0180.html In the new revision (#Version: 0.4-7) of lme4 the standard errors are close to those of the 4 other methods. Thanks to Douglas Bates, Saikat DebRoy for the revision, and to G?ran Brostr?m who run a simulation. In response to my first posting, Prof.

Program: update_links.pl Author: Ryan Wyler <ryan@nhorizon.net> Problem this program solves: Windows machines taking a LONG time to browse shares of automount points which include directories that are inaccessable to the samba server. Explanation: We have our samba shares setup to mount the unix automount directories. The problem is there are MANY automount directories that the

I have a data frame that looks like this: > gctablechromonly[1:5,] refseq geometry gccontent X60_origin X60_terminus length kingdom 1 NC_009484 cir 0.6799 1790000 773000 3389227 Bacteria 2 NC_009484 cir 0.6799 1790000 773000 3389227 Bacteria 3 NC_009484 cir 0.6799 1790000 773000 3389227 Bacteria 4 NC_009484 cir 0.6799

The example below creates parallel time-series plots of three different y variables conditioned by a dichotomous factor. In the graphical layout, ? Each y variable inhabits its own row and is plotted on its own distinct scale. ? Each level of the factor has its own column, but within each row the scale is held constant across columns. ? The panels fit tightly (as they do

Is the labeling/naming of levels in the documentation for the predict.glmmPQL function "backwards"? The documentation states "Level values increase from outermost to innermost grouping, with level zero corresponding to the population predictions". Taking the sample in the documentation: fit <- glmmPQL(y ~ trt + I(week > 2), random = ~1 | ID, family =

Am looking for a way to dynamically add menu items to a task bar icon menu. And then once selected - I would like to get the title of the menu item. The general idea is to read a text file: Project1 Project2 Project3 ===== Add those to the task bar menu, and when i select (for example) Project2, I want to pass the string "Project2" to the code. Also - Am wondering about how to get

Hi, I was recently misfortunate enough to have to use regular expressions to sort out some data in R. I'm working on a data file which contains taxonomical data of bacteria in hierarchical order. A sample of this file can be generated using: tax.data <- read.table(header=F, con <- textConnection(' G9SS7BA01D15EC Bacteria(100) Cyanobacteria(84) unclassified G9SS7BA01C9UIR

Sorry about this one being long, and I apologise beforehand if there is something obvious here that I have missed. I am new to creating my own functions in R, and I am uncertain of how they work. I have a data set that I have read into a data frame: > gctable[1:5,] refseq geometry X60_origin X60_terminus length kingdom 1 NC_009484 cir 1790000 773000 3389227 Bacteria 2

Hi all, Yesterday I released a new Rails plugin: cached_models. It allows to transparently use the internal Rails cache mechanism in your models, avoiding to write code for expiring policies. Example class Project < ActiveRecord::Base has_many :developers, :cached => true end class Developer < ActiveRecord::Base belongs_to :project, :cached => true end # Automatic cache, all

Hello r helpers! Below is the whole coding for my programme. Before proceed more further, let me explain for you. First of all, I need to compute trimmed mean. Till that step is ok. Then I need to compute ssdw which is sum of square deviation. If I do equal trimming at both tail of distribution that I chose, I will use the first ssd formulae which is "a". But if I am doing unequal