Displaying 9 results from an estimated 9 matches similar to: "Error in simulation. NAN"
2005 Nov 29
1
rlogis() in simulation
Dear List:
We are generating data such that students are clustered in schools for
some item response data for a simulation study. One component of our
simulation is to generate measurement error from a logistic distribution
with a mean of 0 and standard deviation of 1.7 to match the logistic
curve of the Rasch model.
We are generating an error term for each of the 40 hypothetical test
items a
2005 Dec 01
1
Simulate Correlated data from complex sample
Dear List:
I have created some code to simulate data from a complex sample where
5000 students are nested in 50 schools. My code returns a dataframe with
a variable representing student achievement at a single time point. My
actual code for creating this is below.
What I would like to do is generate a second column of data that is
correlated with the first at .8 and has the same means within
2008 Aug 15
2
Design-consistent variance estimate
Dear List:
I am working to understand some differences between the results of the
svymean() function in the survey package and from code I have written
myself. The results from svymean() also agree with results I get from
SAS proc surveymeans, so, this suggests I am misunderstanding something.
I am never comfortable with "I did what the software" does mentality, so
I am working to
2000 May 03
0
Combinatorics for nonparametric tests
For some small sample sizes I would like to exemplify the combinatorics
underlying certain nonparametric tests like Mann-Whitney-Wilcoxon,
Kruskal-Wallis and Spearman's rank correlation. I have written a
function all.perm which delivers all permutations of 1,2,...,n and
which works reasonably well. This can be used to generate P(R=r) of
Spearman's rank correlation:
2011 Jan 03
1
Greetings. I have a question with mixed beta regression model in nlme.
*Dear R-help:
My name is Rodrigo and I have a question with nlme package
in R to fit a mixed beta regression model. The details of the model are:
Suppose that:*
*j in {1, ..., J}* *(level 1)*
*i in {1, ..., n_j}* *(level 2)*
*y_{ij} ~ Beta(mu_{ij} * phi_{ij}; (1 - mu_{ij}) * phi_{ij})
y_{ij} = mu_{ij} + w_{ij}
*
*with*
*logit(mu_{ij}) = Beta_{0i} + Beta_{1i} * x1_{ij} + b2 * x2_{ij}
2011 Jan 03
0
Greetings. I have a question with mixed beta regression model in nlme (corrected version).
*Dear R-help:
My name is Rodrigo and I have a question with nlme package
in R to fit a mixed beta regression model. I'm so sorry. In the last
email, I forgot to say that W is also a unknown parameter in the mixed
beta regression model. In any case, here I send you the correct formulation.
**
Suppose that:*
*j in {1, ..., J}* *(level 1)*
*i in {1, ..., n_j}* *(level 2)*
*y_{ij} ~
2003 Oct 05
2
Jonckheere-Terpstra test
Hello,
can anybody here explain what a Jonckheere-Terpstra test is and whether it is
implemented in R? I just know it's a non-parametric test, otherwise I've no
clue about it ;-( . Are there alternatives to this test?
thanks for help,
Arne
2006 May 20
1
(PR#8877) predict.lm does not have a weights argument for newdata
Dear R developers,
I am a little disappointed that my bug report only made it to the
wishlist, with the argument:
Well, it does not say it has.
Only relevant to prediction intervals.
predict.lm does calculate prediction intervals for linear models from
weighted regression, so they should be correct, right?
As far as I can see they are bound to be wrong in almost all cases, if
no weights
2011 Aug 25
1
Syntax for a three-level logistic model
Dear People at R help, I am trying to figure out the syntax for a three-level logistic model with a single random effect (intercept):
Data Collected
My data consist of three levels: level 1 is four setting for each student (setting nested within student), and each student is registered in one of 14 universities (students nested within university). More detailed:
A. 2,479 students who have a