[R] Goodness of fit test in fitdistrplus

I am using the fitdistrplus package in R and would like to do a goodness of fit test. But there does not seem to be any option to do that. Any ideas on how I can do that? Thanks Regards, Indrajit [[alternative HTML version deleted]] __

[R] goodness of fit test for 2-dimensional data in R

Hi, I have a certain number of paired data that show errors at the x-axis and y-axis for the location of a target and is below. My aim is to fit a distribution to the uncertain location of the target via certain tests such as Chi-square test (if possible). I was wondering how it can be done in R.

Re: [R] goodness-of-fit test

Skew as they are, your data certainly don't look normal. Try lognormal. The chi-square test gives good results when all counts are 5 or more, hence the warning. At 12:25 AM 11/12/2010, Andrew Halford wrote: Hi All, I have a dataset consisting of abundance counts of a fish and I want to test

[R] goodness-of-fit test

Hi All, I have a dataset consisting of abundance counts of a fish and I want to test if my data are poisson in distribution or normal. My first question is whether it is more appropriate to model my data according to a poisson distribution (if my test says it conforms) or use transformed data to

[R] Goodness of fit test for count data

Dear all, I am trying to test goodness of fit. I assume that a data follow Poisson or Negative binomial distribution. I can test the goodness of fit in case of no truncated data. However, I could not find any good function or packages when a data is truncated. For example, a frequency table

Re: [R] Goodness of fit test for count data

of squares of your errors is minimal and then use CHi-aquared test using these expected frequencies. Similarly for negative binomial distribution. --- On Tue, 23/2/10, pinusan anh...@msu.edu wrote: From: pinusan anh...@msu.edu Subject: [R] Goodness of fit test for count data To: r-help@r-project.org

[R] Goodness of fit test / pseudo r^2 measure for Zero Inflated Model

Hi I have been using a Zero-Inflated negative binomial model fitted using the pscl zeroinfl command but I would like to extract a goodness of fit measure are there any suitable pseudo R^2 measures available for this type of analysis to try and assess the amount of variation in the data

Re: [R] goodness of fit test

Hi Edna, You could use lapply or sapply to perform the multiple goodness of fit tests at the same time. Chunhao Quoting Edna Bell [EMAIL PROTECTED]: Dear R Gurus; Is there an automated process for goodness of fit tests, please? I know there is prop.test for one at a time, but I was

[R] goodness of fit test

Dear R Gurus; Is there an automated process for goodness of fit tests, please? I know there is prop.test for one at a time, but I was wondering about this, please. Thanks, Edna Bell __ R-help@r-project.org mailing list

[R] Goodness of fit test

Dear R users, I have some data sets and I'd want to test if they are genarated under different probability functions. That is, some of them by gamma distribution, exponential one etc. Could anybody propose me any test (or procedure) to see that. I search something similar to the normality tests.