Hi R-users!
I am trying to create a what I call inflated array (maybe there is
already some other name for that). It is an array that changes
dinamically its dimensions, e.g. the higher the number of third
dimensions, the more rows in the array. So for example the array could
look like the
Hi R-Users!
I fitted a negative binomial distribution to my count data using the
function glm.nb() and obtained the calculated parameters
theta (dispersion) and mu.
I would like to simulate values from this negative binomial distribution.
Looking at the function rnbinom() I was looking at the
Hi R-Users!
(sorry about the last email)
I fitted a negative binomial distribution to my count data using the
function glm.nb() and obtained the calculated parameters
theta (dispersion) and mu.
I would like to simulate values from this negative binomial distribution.
Looking at the function
Addition to last email:
The problem basically arises also when I want to calculate (plot) the
cumulative distribution of the negative binomial with the calculated
parameters mu and theta!
On 7/14/06, Hadassa Brunschwig [EMAIL PROTECTED] wrote:
Hi R-Users!
(sorry about the last email)
I
Hi everyone!
This must be a common question but I have not found an answer to it in the
archives yet.
I am producing four plots with par(mfrow=c(2,2)). The x-axis is the same for
all of them but the y-axis is different.
What I would like to do is to have a different range of the y-axis and
...
Thanks.
Hadassa
--
Hadassa Brunschwig
Birmannsgasse 10A
CH-4055 Basel
Switzerland
Phone: +41 78 797 6065
Email: [EMAIL PROTECTED]
__
R-help@stat.math.ethz.ch mailing list
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PLEASE do read the posting guide
- read.bugs(mcmcA[1])
plot(codaA1)
THANKS A LOT!!
--
Hadassa Brunschwig
Birmannsgasse 10A
CH-4055 Basel
Switzerland
Phone: +41 78 797 6065
Email: [EMAIL PROTECTED]
__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
should rely on.
Thanks a lot.
--
Hadassa Brunschwig
Birmannsgasse 10A
CH-4055 Basel
Switzerland
Phone: +41 78 797 6065
Email: [EMAIL PROTECTED]
Quoting Sibylle Sturtz [EMAIL PROTECTED]:
This is due to the following:
In bugs(), the default for thinning is
n.thin = max(1, floor(n.chains
Thank you for your answer. I found out the mistake and it finally works!!
Hadassa
--
Hadassa Brunschwig
Birmannsgasse 10A
CH-4055 Basel
Switzerland
Phone: +41 78 797 6065
Email: [EMAIL PROTECTED]
Quoting Uwe Ligges [EMAIL PROTECTED]:
Hadassa Brunschwig wrote:
Hi R-Help!
I am
Hi R-Help!
My question: I have lifetime/failure data of machines with different
stress levels and i think an weibull/extreme value distribution would
fit this data. So I did:
model1 - survreg(Surv(lfailure)~stress,data=steel,dist=extreme)
(where lfailure=log(failure))
Now I would like to
Hello everyone
(Im not sure if i already posted this problem)
I have grouped data and i used a Trellis plot to show the curve of a fitted
model for each group. Additionally i have a vector whose values are the
highest points the curve can reach (the curve rises exponetially). Each
value of the
Thanks to everyone who replied to my first problem. Here is the second one:
Is the function lme (Mixed Model) also in a foreign library(shouldnt, as
this is a basic statistical function)? I am trying to use lme in R and it
replies that it couldnt find the function lme...weird...
Thanks for
Im trying to import data from an excel sheet or a sas file to R...im not
succeeding. Apparently the function read.xport for reading a SAS file doesnt
exist. What do i have to type in EXACTLY to read from an excel sheet(i guess
i would be using read.table?)?
Thanks in advance for an answer
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