similar to: help on ks.test

Hello! I need to test the adjustment of a (Negative) Exponential Distribution to a dataset. The parameter of the distribution is unknown. What is the appropriate test to do? I've tried the ks.test, although I think this isn't the appropriate one, as I don't know the parameter. Can anybody help me? Thanks in advance, Janete -- Janete da Silva Borges janeteborges at gmx.net Ab

Greetings, We wanted to announce v. 1.4.0 of the R package 'KScorrect', which carries out the Lilliefors correction to the Kolmogorov-Smirnoff (K-S) test for use in (one-sample) goodness-of-fit tests. Aside from several minor changes, the biggest change is that the Monte Carlo algorithm now supports parallel implementation, using the platform-independent 'doParallel' and

Greetings, We wanted to announce v. 1.4.0 of the R package 'KScorrect', which carries out the Lilliefors correction to the Kolmogorov-Smirnoff (K-S) test for use in (one-sample) goodness-of-fit tests. Aside from several minor changes, the biggest change is that the Monte Carlo algorithm now supports parallel implementation, using the platform-independent 'doParallel' and

Hi, this is my first help request so please bear with me. I've been running some normality tests using the nortest package. For some of my datasets the Cramer-von Mises normality test generates an extremely high probability (e.g., 1.637e+31) and indicates normality when the other tests do not. Is there something I'm misunderstanding or potentially a bug in the code? Below are the

I believe there to be a bug in the cvm.test module of the nortest package authored by Juergen Gross. I do not know how to contact the author directly. I've been running some normality tests using the nortest package. For some of my datasets the Cramer-von Mises normality test generates an extremely high probability (e.g., 1.637e+31) and indicates normality when the other tests do

Hi, Thakns all for your help I am doing the next in my dataframe tabla, column pend1, because the Lilliefors (Kolmogorov-Smirnov) test give me a pvalue < alfa. (data no normal distribution). I need do a transformation with box-cox or other: > bc <- boxcox.fit(tabla$pend1) R send to me: Error in boxcox.fit(tabla$pend1) : Transformation requires positive data The summary for my data

Hi all, apologies for seeking advice on a general stats question. I ve run normality tests using 8 different methods: - Lilliefors - Shapiro-Wilk - Robust Jarque Bera - Jarque Bera - Anderson-Darling - Pearson chi-square - Cramer-von Mises - Shapiro-Francia All show that the null hypothesis that the data come from a normal distro cannot be rejected. Great. However, I don't think it looks

Dear all, Is it possible to use chisq.test(x,p) (where x = c(N1,...,Nk) are the counts in the k "bins" and p is a vector of the probabilities that a random observation will fall in the various bins) to test the goodness of fit of a certain distribution for which we had to estimate the parameters? Is there another function to do that? Also, how can I use chisq.test or other

Hi all, I have a dataset of 2000 numbers ( it's noise measured with a scoop ) Now i want to know of my data is normal distributed (Gaussian distribution). I did already: - 68-95-99.7 test - Q-Q-plot and now i used "nortest library" and the Lilli.test() However i don't understad the output? lillie.test(z) Lilliefors (Kolmogorov-Smirnov) normality test data: z D =

The normality of the residuals is important in the inference procedures for the classical linear regression model, and normality is very important in correlation analysis (second moment)... Washington S. Silva > Thank you all for your replies.... they have been more useful... well > in my case I have chosen to do some parametric tests (more precisely > correlation and linear regressions

Hi, I use ks.test or lillie.test to verify a normal distribution. It's performed for a group My users use SigmaStat software and a One Way ANOVA on several groups In the result page there is a probability value to determine if Normality test is failed or passed So, how can i retrieve this probability value on several groups? Is there another function in R to verify normality on several

Hi, I'm a newbie and i am unable to use lillie.test in nortest I have a message: "Couldn't find function "lillie.test" I am under windows2000 with R1.8.1 nortest is listed with .packages(TRUE) How to do to use lillie.test function? Laurent Houdusse Analyste Programmeur

Hi, Does anybody know some package or function that computes canonical variates? Luis & Janete -------------------------------------------- sapo.pt/kitadsl -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the

Hello! I need to classify a data set with 19 variables and 9 classes using Logistic Regression(on R). I know that when we have only 2 classes we can use glm() to estimate the coefficients of the model. But I don?t understand how can I do a classification task with Logistic Regression on a data set with 9 classes! Does anybody know how can I estimate these coefficients (of a model with 9

Greetings on A.N. Kolmogorov's 100th birthday: I am sure that this is a resolved problem, certainly it has been raised in R help several times before, but I can't seem to find the right clue. I've recently upgraded a G4 to OS 10.2.5 and I thought I would have another go at installing R from source, after failing to accomplish this in 10.1. So with 1.7.0 from CRAN configure seems to

Hello all, Would somebody be kind enough to show me how to do a KS test in R for a lognormal distribution with ESTIMATED parameters. The R function ks.test()says "the parameters specified must be prespecified and not estimated from the data" Is there a way to correct this when one uses estimated data? Regards, Kwabena. -------------------------------------------- Kwabena Adusei-Poku