similar to: Jonckheere-Terpstra test

Is it possible to implement the Jonckheere-Terpstra test for ordered alternatives using the coin package: Conditional Inference Procedures in a Permutation Test Framework? I found jonckheere.test{clinfun}, but it uses a normal approximation when ties are present in the data. To make this concrete, I've include a small dataset. Thanks. --Dale Hollander and Wolfe, 1999 Table 6.6, pg 205

Hi list, I tried to load the package SAGx and failed because it complains it's looking for the Biobass which is not there. Then I looked up the package list and Biobass is not found. I'm trying to run the Jonckheere-Terpstra test and from what I see in the R archive, SAGx is the only place it's been implemented. > library(SAGx) Loading required package: multtest Loading required

I have written test.ll as below and ran 'opt' on it as " opt -std-compile-opts test.ll -S -o -" . But the output shows that there is code motion around the barrier intrinsics. test.ll ------- ; ModuleID = 'test.bc' define void @test(i16* %I_0, i16* %I_1, i16* %I_2, i16* %I_3, i16* %O_0) { entry: %T_0 = load volatile i16* %I_0 %T_1 = load volatile i16* %I_1 %T_2 =

is there any guarantee that the nvptx intrinsic "llvm.nvvm.barrier0" will not be moved around by opt ? In other words, can I expect all the instructions above "llvm.nvvm.barrier0" to remain above it and those below it to remain below, after all the opt passes are run ? If that is not the case, is there a way to define such an intrinsic ? Thanks. -------------- next part

I'm trying to use the rsync algorithm for incremental backups. After a quick look at rsync I saw the batch mode operations, and I thought that maybe I can modify them for incremental backups. What is needed is to add an option to save the checksums of all the files of the level 0 backup and a second option to use the level n checksum to calculate the delta batch files for the level n+1

Hi,   I have a system in which I analyze 2 subjects and 1 variable, so I have 2 models as follow:   y ~ x_1[, 1] + x_2[, 1] + x_1[, 2] + x_2[, 2]   Where   x_1[, i] = cos(2 * pi * t / T_i) x_2[, i] = sin(2 * pi * t / T_i)   i = 1, 2   Data have two columns: t and y.   As you can see, I have a multiple components model, with rithm and without trends, and I have a fundamental

I'm working on a personal project which involves lowering a superset of LLVM to "vanilla" LLVM. Part of this involves rewriting types. I'm working off of the 2.6 code base, so this may have been addressed in a bug fix. I'm having trouble with refineAbstractType and recursive types. Specifically, I'm creating opaque types to serve as placeholders for the final

Hello! Maybe this is a trivial question as I'm still a new baby in R but I wish that u will help me. I want to calculate the following U= sum (t_j*v_j) where t_j is a vector and v_j is the matrix Thanks Dina

I want write article by russian language using Sweave. For cyrillic text LaTeX use T2A encoding \usepackage[T2A]{fontenc} But in Sweave.sty we find: \RequirePackage[T1]{fontenc} It is source of critical problem. For example Rnw file $ cat estimation.Rnw \documentclass[A4paper]{article} \usepackage[T2A]{fontenc} \usepackage[utf8]{inputenc} \usepackage[russian,english]{babel}

Hello again, First, thanks for the help that got the latest plotrix package finished. I had been planning to write something about packages since Scott Waichler offered the gantt.chart function. Then Ben Bolker (who helped me to write the axis.break function) asked if I would be willing to include some of his plotting functions and almost immediately after that Sander Oom kindly donated the

Hello again, First, thanks for the help that got the latest plotrix package finished. I had been planning to write something about packages since Scott Waichler offered the gantt.chart function. Then Ben Bolker (who helped me to write the axis.break function) asked if I would be willing to include some of his plotting functions and almost immediately after that Sander Oom kindly donated the

Dear Colleagues, I have a data set that looks as below. I'd like to count the number of dates in a series of arbitrary ranges (breaks) i.e. not pre-defined breaks such as months, quarters or years. table(format()) produces ideally formatted output, but table() does not appear to accept arbitrary ranges. I also tried converting the dates to numeric and using histogram to try to get the data,

Given X1,...,Xn ~ t_k(mu,sigma) student t distribution with k degrees of freedom, mean mu and standard deviation sigma, I want to obtain the MLEs of the three parameters (mu, sigma and k). When I try traditional optimization techniques I don't find the MLEs. Usually I just get k->infty. Does anybody know of any algorithms/functions in R that can help me obtain the MLEs? I am especially

I don't know from the nortest package, but it should ***always*** be the case that you test hypotheses H_0: The data have a normal distribution. vs. H_a: The data do not have a normal distribution. So if you get a p-value < 0.05 you can say that ***there is evidence*** (at the 0.05 significance level) that the data are not from a normal distribution. If the nortest package does

Michael, Got any solutions to this. We are confronted with the same problem only SUSE 9.x ,Samba , W200 workstations. Only few of them have this problem. (exactly as how you describe it). Mark

Dear All, I have already posted before on the list about data mining and it has proved very useful. I have now a training dataset consisting of N objects of M<<N different kinds (actually, M is usually 3 to 5, whereas N is of the order of 1000). Every object has its own label L_i, i=1...N, that is known. For each of these objects I measure some property in time (let's say I measure it

Hi, I am using attr_accessor attributes in model class and assigning the values to attr_accessor dynamically in controller. And am sending the data object to display in Yaml format. I am getting the response along with changed_attributes but I don''t want changed_attributes details in my response. build Model code class Test < ActiveRecord::Base attr_accessor: t_1, t_2, t_3, t_4 end

Dear R-Listers, I am very confused with what seems to be a misuse of the faceting options with gplot function and I hope you might help me on this. z contains various simulation results from simulations with different set of parameters. I melt my data to have the following data.frame structure : > str(z) 'data.frame': 12383 obs. of 5 variables: $ vID : num 1 2 3 4 5 6 7 8

1. There is, I believe, some redundant code in the calculation of the test statistic in ks.test in the package ctest. Lines 34-37 of the code read x <- y(sort(x), ...) - (0:(n - 1))/n STATISTIC <- switch(alternative, two.sided = max(abs(c(x, x - 1/n))), greater = max(c(x, x - 1/n)), less = -min(c(x, x - 1/n))) Lines 35-37 could read

Hi, I am trying to convert a simple CUDA program to LLVM IR using clang 3.0. The program is as follows, #include<stdio.h> #nclude<clang/test/SemaCUDA/cuda.h> __global__ void kernfunc(int *a) { *a=threadIdx.x+blockIdx.x*blockDim.x; } int main() { int *h_a,*d_a,n; n=sizeof(int); h_a=(int*)malloc(n); *h_a=5; cudaMalloc((void*)&d_a,n); cudaMemcpy(d_a,h_a,n,cudaMemcpyHostToDevice);