search for: variabilities

I apologise for writing again about the problem with using stepAIC + multinom, but I think the reason why I had it in the first place is perhaps there may be a bug in either stepAIC or multinom. Just to repeat the problem, I have 126 variables and 99 cases. I don't know if the large number of variables could be the problem. Of couse the reason for doing a stepwise method is to reduce this

Dear R People: Hello! I'm putting together another RcmdrPlugin package and need to add a FORTRAN subroutine to speed things up a bit. I've never added compiled code to a package. Anyhow, I put my code into a /src directory. Here are the statements: * using log directory 'c:/R/R-2.11.1/bin/RcmdrPlugin.push.Rcheck' * using R version 2.11.1 (2010-05-31) * using session charset:

Hello, I have got a linear model that looks like this: lm(criterion ~ variable.A*variable.a + variable.B*variable.b + variable.C *variable.c) The output computed with stdCoeff() seems to be all right, but it does not show the coefficients of the interaction of the first pair of variables. Instead, it shows "NA": (Intercept) NA

Hi, According to the LLVM website, the pass-print-dbginfo should print : Pass that prints instructions, and associated debug info: * source/line/col information * original variable name * original type name But the following is the output I get. It has no source file names. It does not print any instructions. It only prints function and variable names: function main : ; %2 is

I would like to create a vector of pairlist (flag, binary_value) like: (variable ="TrendOff", value = 0) (variable ="MOdwt", value = 1) (variable ? "ZeroPadding", value =1) ................................................ I tried the following syntax but the emcompassing list (that I called "flags") is not made up of pairlists. Instead it

I'm learning R and am converting some code from SPSS into R. My background is in SAS/SPSS so the vectorization is new to me and I'm trying to learn how to NOT use loops...or use them sparingly. I'm wondering what the most efficient to tackle a problem I'm working on is. Below is an example piece of code. Essentially what it does is set a variable to zero, loop through item

Changes: tools/blktap: remove unneeded pointer dereferencing in convert_dev_name_to_num tools/blktap: constify string arrays in convert_dev_name_to_num tools/blktap: fix params and physical-device parsing tools/blktap: remove unneeded pointer dereferencing from img2qcow.c tools/blktap: remove unneeded pointer dereferencing from qcow2raw.c tools/blktap2: fix build errors caused by Werror in

Hello All, I am trying to carry out variable reduction. I do not have information about the dependent variable, and have only the X variables as it were. In selecting variables I wish to keep, I have considered the following criteria. 1) Percentage of missing value in each column/variable 2) Variance of each variable, with a cut-off value. I recently came across Weka and found that there is an

I am having some problems with variable scoping. I need to be able to set a variable that is accessable by other methods within the class (or instance) (i.e not global). An example is 2 pages that change a class variable: class AjtestController < ApplicationController def initialize @@variable = "init" end def show @display = @@variable @@variable = "change 1"

Hello, we have one puppet server managing approx servers, all FreeBSD. The problem is that the puppet clients all hangs, one by one, eventually. They will run for anything between an hour up to a week. But eventually the all hang. We really like puppet and want to keep using it. But the way it is now is completely unusable. We''ve tried many versions, from 24.x, and now 2.6.1rc1. But

I read the guide at http://docs.puppetlabs.com/guides/scope_and_puppet.htmland others'' mail, i am a little confused now, below is my understanding: 1. top scope only refers to site.pp, not include node definitions and facts. 2. in puppet class, using variables not local, must specify the namespace, like $class::variable, if it''s a top scope variable or a fact variable or a

This novice coder roughly understands the difference between instance and local variables thanks to David Black''s excellent book, but I''m still unclear as to when and why a either is more desirable to use. In general, I use instance variables in my controller and local in my views, but I''m not sure as to why or if this is correct. Thanks Joe Kowalski

Hello, I am using the R randomForest package to classify variable stars. I have a training set of 1755 stars described by (too) many variables. Some of these variables are highly correlated. I believe that I understand how randomForest works and how the variable importance are evaluated (through variable permutations). Here are my questions. 1) variable importance error? Is there any ways

Dear all, I have a continuous variable that can take on values between 0 and 100, for example: x<-runif(100,0,100) I also have a second variable that defines a series of thresholds, for example: y<-c(3, 4.5, 6, 8) I would like to convert my continuous variable into a discrete one using the threshold variables: If x is between 0 and 3 the discrete variable should be 1 If x is between 3

I am not sure if this is an R-users question, but since most of you here are statisticians, I decided to give it a shot. I am using the lm() function in R to fit a dependent variable to a set of 3 to 5 independent variables. For this, I used the following commands: >model1<-lm(function=PBW~SO4+NO3+NH4) Coefficients: (Intercept) SO4 NO3 NH4 0.01323 0.01968

Just trying out a node agi package (https://github.com/sergey12313/ts-agi/ , and it wasn't behaving as I expected, but when turning on agi debug, it looks like it might be Asterisk (using 17.1.0) This works as expected <Local/1000 at default-00000020;2>AGI Rx << SET VARIABLE myVar "Hello World!!!" <Local/1000 at default-00000020;2>AGI Tx >> 200 result=1

Dear all. I am having ten variables (let's call the four of them as Alpha, Beta, Gamma and Delta.....) For each variable I have to print around 100 (plots). E So far I was copying paste the code below many times. pdf(file="DC_Alpha_All.pdf", width=15) # First Variable is treated as string plot_dc_for_multiple_kapas(Alpha, 4, c(5, 4), coloridx=c(24, 32)) # First Variable is

Hello dear R people! Several times it occurred to me that a function that uses a variable name as a parameter would be helpful, but I did not find out how to write such a function. I have experience in several programming language, but I did not come across a helpful trick... What I want to have is... a <- 12 # starting value add <- function(variable,increment) { variable <-

I’d like to discuss revising the LLVM coding conventions to change the naming of variables to start with a lowercase letter. This should not be a discussion on the pain of such a transition, or how to get from here to there, but rather, if there is a better place to be. My arguments for the change are: 1. No other popular C++ coding style uses capitalized variable names. For instance here

Is there any way to get the last line of this code to double the contents of a and b without naming them directly? #create variables a and b a<-5 b<-10 #store variable names a and b in variables c and d c<-"a" d<-"b" e<-c(c,d) #loop through both variables for (i in e){ #print the numbers five and ten using only the variables c and d #this line works fine