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-
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.
T
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
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
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 wrote:
> From: pinusan
> Subject: [R] Goodness of fit test for count data
> To: r-help@r-project.org
> Received:
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
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
explain
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 wo
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
https://stat.ethz.ch/mailman/lis
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.
10 matches
Mail list logo