similar to: Problems installing Packages

Fedora 9 R 2.7.1 I tried to install R on my Linux system using install.packages("Rcmdr", dependencies=TRUE). I received many, many, many error messages. I hope someone can suggest a fix. The output from warnings() is listed below. A more detailed list of errors from one of the failed installations is listed below the warnings: > warnings() Warning messages: 1: In

Full_Name: Ivan the Terrible Version: 2.9.2 OS: Windows XP SP3 Submission from: (NULL) (89.110.13.151) When using the method blackboost_fit of the package mboost appear following error : Error in party:::get_variables(obj at responses) : trying to get slot "responses" from an object (class "boost_data") that is not an S4 object Simple test case that produce bug:

Dear R helpers, I am trying to understand how to use the independence_test function in the coin package. I think I suffer from a misunderstanding about what the package does. Either that or I do not understand how to use it properly. Specifically, I cannot understand if I can test independence of arbitrary statistics. Take the following example: set.seed(10) d <- data.frame(y = c(rnorm(10,

Dear fellow R users, Keywords: Kruskal-Wallis, Post-Hoc, pair-wise comparisons, Nemenyi-Damico-Wolfe-Dunn test, coin package, oneway_test I am using the "oneway_test" function in the R package "coin" and I am obtaining results which I cannot believe are accurate. I do not wish to waste anyone's time and so if the following problem is rather trivial, I apologize, however I

I tried Tal's suggestion of deleting the doBy and coin packages and then reinstalling them from a different mirror. The first install was from the Harvard mirror and the second was from the Case Western Univ. mirror. The new packages generate the same errors when I call them using the library() command. Also, I tried to load these packages using R and its script editor thinking that the

Can someone recommend a method to answer the following type of question: Suppose I have a coin with a probability hhh of coming up heads (and 1-hhh of coming up tails) I plan on flipping the coin nnn times (for example, nnn = 500) What is the expected probability or frequency of a run of rrr heads* during the nnn=500 coin flips? Moreover, I would probably (excuse the pun) want the answer for a

Dear List, I'm interested in performing a permutation test on the interaction between a binary treatment indicator and a covariate (either continuous or categorical). I'm interested in the p-value of the interaction effect from a permutation test, and I'm using the coin package for that purpose. As I haven't seen any examples like this in the package documentation (or anywhere

Hola, Please, mira si esta vez funciona: #---------------------------------------------- ID <- c(1, 2, 3, 4, 5, 6, 7, 1, 2, 3, 8, 9, 10, 11, 12, 1, 2, 3, 4, 5, 6, 1, 2, 6, 8, 12, 7, 15, 16, 17, 18, 19, 20, 1, 21, 22, 19 ) Year <- c (1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 6, 6, 6) df <- data.frame (ID, Year) df ID <- c(1,

Dear sir, I am Shibu John from Thrombosis Research Institute India. It is a multidisciplinary organisation concerned with the interrelated problems of thrombosis and atherosclerosis. I was searching for Cochran armitage trend test program in R. Then I had seen your R coding for C-A trend test. I tried that in the R software. But I can?t run the program due the [Error: could not find function

I've got a dumb Western Electric payphone and some homebuilt hardware to control the coin relay which is accessible to Asterisk through the AGI interface. I'd like to be able to set the state of the coin relay to collect at the end of a call if a called party answers. [Hey, I admit this project is being persued just for the fun of it ] Looking through the documentation, there is a way to

Dear expeRts, I would like to use a oneway_test (from package coin) to test whether two groups differ on various variables. The variables are encoded within a data frame. Unfortunately, I obtained an error, that I don't understand. Could you please help me ? Example: library(coin) y <- as.data.frame(matrix(rnorm(200), ncol=2)) group <- as.factor(unif(100)) lapply(y,

Hola, Antes de nada, muchas gracias por tu ayuda. El código se ha acercado bastante, pero no termina de funcionar porque considera cada captura de un individuo como años consecutivos aunque haya pasado más tiempo entre ellos. Por ejemplo el individuo 4 es capturado por primera vez el año 1 y por segunda vez el año 3, por lo que debería de ser renombrado ya que en este ejemplo en concreto

Hi, R allows me to run a one sample Wilcoxon test like this: wilcox.test(c(1,3.5,2.1,4,1.5,5), mu=2, exact=TRUE) The function 'wilcoxsign_test' from the package 'coin' should (I suppose) be able to calculate exact p values even if there are ties in the ranks. However, I couldn't find information on how to run a one sample test using 'wilcoxsign_test' like in the

Dear List, after updating the exactRanksumTests package I receive a warning that the package is not developed any further and that one should consider the coin package. I don't find the signed rank test in the coin package, only the Wilcoxon Mann Whitney U-Test. I only found a signed rank test in the stats package (wilcox.test) which is able to calculate the exact pvalues but unfortunately

Given the following data, and hypothesized median M.0 I've found a method to implement the Wilcoxon signed-rank test. Data: (with one zero difference and tied ranks) x <- c(136, 103, 91, 122, 96, 145, 140, 138, 126, 120, 99, 125, 91,142, 119, 137) M.0 <- 119 > library(exactRankTests) Package ?exactRankTests? is no longer under development. Please consider using package ?coin?

Anyone know if coin can run a permutation test based on a (user-defined) statistic other than the mean difference? The function independence_test does the permutation t-test via difference in means. I'm wondering if it's possible to use independence_test to run a permutation test for some other statistic than the difference in means. For example, I'd like to run a permutation test

I am trying a simple toin coss simulation, of say 200 coin tosses. The idea is to have a data frame like so: Experiment# Number_Of_Heads 1 104 2 96 3 101 So I do: d <-data.frame(exp_num=c(1,2,3)); /* Just 3 experiments to begin with */ d$head_ct <-sum(sample(0:1,200,repl=TRUE)); d; exp_num head_ct 1

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

Good Evening R-Help Community: I have attached a file that contains the output from sessionInfo() and a summary of my Win XP system. I am?running R 2.12.0 and using Tinn-R 2.3.6.2 as my interface. When I attempt to call either the doBy or coin packages R generates an error that I do not understand and have so far not been able to resolve by searching R resources. I exchanged a couple of

Dear R-help, Could someone please try to explain this paradox to me? What is more likely to show up first in a string of coin tosses, "Heads then Tails", or "Heads then Heads"? ##generate 2500 strings of random coin flips ht <- replicate(2500, paste(sample(c("H", "T"), 100, replace = TRUE), collapse =