similar to: missing ctest and methodological question

Hello I have used recently the kolmogorov smirnov test, which is a test of normality. This test is named ks.test() in ctest library of R. I wonder if the results of ks.test () are true, because the results are strange, time to time. thank you for help meriema -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

I simulate a uniform data and then transformed into Burr(1,3,1) data, which is of pdf: f(x)=[3*(x^2)] / [(1+x^3)^2], x>0 How can I perform a goodness-of-fit test (k-s, anderson-darling,chisq,cramer-von mises,...) on it (should highly accept) to get test-statistics & p-values? Thanks! Sincerely, Shelton Jin -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-

# Why does expressing one function require(ctest) t.test # return only function (x, ...) UseMethod("t.test") <environment: namespace:ctest> # but expressing another function shapiro.test # returns more complete code? function (x) { DNAME <- deparse(substitute(x)) x <- sort(x[complete.cases(x)]) n <- length(x) if (n < 3 || n > 5000)

This question is mainly aimed at Kurt Hornik as author of the ctest package, but I'm cc'ing it to r-help as I suspect there will be other valuable opinions out there. I have been attempting 2 sample Kolmogorov-Smirnov tests using the ks.test function from the ctest package (ctest v.0.9-15, R v.0.63.3 win32). I am comparing fish length-frequency distributions. My main reference for the

I frequently want to test for differences between animal size frequency distributions. The obvious test (I think) to use is the Kolmogorov-Smirnov two sample test (provided in R as the function ks.test in package ctest). The KS test is for continuous variables and this obviously includes length, weight etc. However, limitations in measuring (e.g length to the nearest cm/mm, weight to the nearest

I try load ctest, and don't have sucess > library(ctest) Error in dyn.load(x, as.logical(local), as.logical(now)) : unable to load shared library "/usr/local/lib/R/library/ctest/libs/ctest.so": /usr/local/lib/R/library/ctest/libs/ctest.so: undefined symbol: ÝfÔ What I must to do I will waiting your answer George Diniz

Has anyone noticed this behavior: > library(ctest) Error in dyn.load(x, as.logical(local), as.logical(now)) : unable to load shared library "J: \STATS\RW1000/library/ctest/libs/ctest.dll": LoadLibrary failure > library(ctest) > version _ platform Windows arch x86 os Win32 system x86, Win32 status major 1 minor 0.0 year 2000 month

Hi Everyone, We have just upgraded to R-1.2.1, and I note, in contrast to R-1.1.1, that ctest is now loaded automatically. The mechanism for this is to create a .First function in base: .First <- function() { require("ctest", quietly=TRUE) } Now I don't want ctest, but I find that simply putting if (length(grep("ctest", search()))) detach(package:ctest) into

Hi Sir I did find ctest package from CRAN. Where it can be found? Regards -- AMINA SHAHZADI Department of Statistics GC University Lahore, Pakistan. [[alternative HTML version deleted]]

Please send me the r package : ctest to the following e-mail mak.stat09@gmail.com Thank you. Best regards MAK [[alternative HTML version deleted]]

R-help, I was searching the R archives for information on multiple comparisons and found that "ctest" package may contain something useful for my study. But there seems not to be such a package on CRAN. Anything I am missing? Thanks in advance

On a PMac 7200 (running LinuxPPC 3Q 99), trying to install "R-ctest-0.9.R16-1.ppc.rpm" and "R-splines-2.0.R3-3.ppc.rpm" rpms currently in the linuxppc binary download directory results in error messages saying that files in these rpms conflict with files from R-base 1.01-1. Of course, "R-rpart" and "R-survival4" then also can't be installed because the

Hi, does the shapiro wilk test in R-1.3.0 work correctly? Maybe it does, but can anybody tell me why the following sample doesn't give "W = 1" and "p-value = 1": R> x<-1:9/10;x [1] 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 R> shapiro.test(qnorm(x)) Shapiro-Wilk normality test data: qnorm(x) W = 0.9925, p-value = 0.9986 I can't imagine a sample being

I'm pretty new to R and are trying to do some reliable normality testing... but, can't find the Shapiro Wilk test in R Does some experienced user have such a function that will be wanting to share with me? Or there is maybe some other way to get hte Shapiro Wilk test done... I'll appreciate any hint on this, Thanks -- *********************** Horacio Samaniego Dep. Ecologia P.

I have a large amount of data which I break down into a collection of vectors of 100-125 values each. I would like to test the normality of the vectors and compare them. In the interactive mode I can test any one vector using the Shapiro-Wilk test or the Kolmogorov-Smirnov test. My problem is that when I try to write out the results to a file, the term output is a mixture of alpha characters

In the past months (maybe even years), I have received a variety of suggestions on improving/extending/... my ctest package. Some of the wishes have already been fulfilled. In the future, I will at least: * provide a formula-based interface * provide an option for controlling the behavior of 2-sided p-values (sum of more extreme, tail balancing a la S-PLUS, double one-sided, mid p-value,

R 0630 for windows > library(ctest) > binom.test(7,10,p=0.3, alternative="two.sided") returns a p-value of =< 2.2e-016 and a warning In Splus 3.4 > binom.test(7,10,p=0.3, alternative="two.sided") returns a p-value of 0.0106 I think it is the max(v[v<=(1+eps)*PVAL]) causing the problem... max() of an empty vector....... Mai Z

Full_Name: Karel Zvara Version: 1.8.1 OS: MS Winows 2000 Submission from: (NULL) (195.113.30.163) The test statistics of the fligner.test (ctest package) depends on the order of cases: > fligner.test(count~spray,data=InsectSprays) Fligner-Killeen test for homogeneity of variances data: count by spray Fligner-Killeen:med chi-squared = 14.4828, df = 5, p-value = 0.01282 >

I am contemplating improving my ctest package as follows: * Add exact p,q,r,s functions for the Wilcoxon distribution, and change the test accordingly (make `exact' work). * Make Fisher's test work for tables larger than 2 by 2. * Perhaps add an exact unconditional test for 2 by 2 tables? * Perhaps add something on estimating/testing relative risk and odds? As clearly I'd like to

Estimados todos: Me es grato escribir a esta lista de ayuda para R, ya que comparto 100% la filosofía de Software libre en especial software en Estadística ya que es la carrera que estoy siguiendo. El motivo de este mensaje es por un par de dudas que no pude resolver: 1. He utilizado las funciones para realizar pruebas de normalidad (kolmogorov-smirnov, cuando n>50) y (Shapiro, cuando