Displaying 6 results from an estimated 6 matches for "coursenot".
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coursenotes
2004 May 31
2
[OT] "plot y against x"
...al axis] against y [vertical axis]"
Google tells me that "plot y against x" throws up about 147 hits,
while "plot x against y" throws up about 54 hits. One of the
latter is unequivocal and comes from a respected department of
mathematics:
http://www.maths.lancs.ac.uk/dept/coursenotes/lab100/pdffiles/a12.pdf
Q 12.1 A simple plot.
Invoke Matlab in an Xterm window and position the
Figure window so that you can see it properly.
x = -3:5 % plotting values (range)
y = 2*x + 3 % a linear function of x
plot(x,y) % plot x against y
and at least two refer to "St...
2011 Jun 01
1
How to write random effect in MCMCglmm
Hi All,
The data set that I have is a cluster data, and I want to run a HLM mixed
model with multi-level response. Here is my data set:
response:
- Level (num: 1, 2, 3, 4, 5 - 5 levels)
Covariates:
- Type (Factor: A, B, C - 3 levels)
- yr (num: 2006, 2007, ...)
- Male (num: 0=not Male, 1=Male - 2 levels)
- Ethnicity (Factor: A, B, H, ..., - 7 levels)
- ELL (num: 0, 1, - 2
2012 Mar 24
0
Help ordinal mixed model!
...h answers from the owner of the library
- all incipient) how to interpret the output the function MCMCglmm, come to
enlist the help of you, if someone has already worked with MCMCglmm function
in the case of variables ordinal dependent. I've read and reread all the
pdf's of the package, the coursenotes Jarrod, finally, I'm exhausted. To
clarify the database, the treatment (called fases) consist of three levels
(1-pre, 2-propolis and 3-vincris) and the ordinal variable response has
three categories (1-normal, 2-agudo, 3 - cronico). See table!
du <-
transform(read.table('http://dl.dro...
2011 Sep 15
1
MCMCglmm heteroscedasticity dependent on predictor
Hi,
I have a dataset where the residual variance decreases with on one of
the predictors (population size).
Currently, the full model looks like this:
prior<-list(R=list(V=1e-16, nu=-2),G1=list(V=diag(2), nu=2))
m<-MCMCglmm(response~poly(population size,2)*poly(other
predictor,2)+time, random=~us(1+time):population, data=data,
prior=prior)
Basically, it's a random regression with
2011 Feb 14
1
MCMC glmm
Hi to all the people,
I'm working with abundance data of some species, but containing too zero
values, and the factors are the ones typical in a BACI experiment
(Before-and-After-Control-Impact). Thus, these are two fixed factors. As the
data does not holds the normality and homogeneity of variances assumptions
of clasiccal ANOVA, I'm trying to fit a zero-altered model using the MCMC
glmm
2010 Sep 22
1
Ordinal mixed model
Hello,
I am trying to build a generalised linear mixed model.? My dependent variable is
ordinal.? I have a random factor (7 individuals), and a repeated measure where
the dependent variable was measured three times for each of four attempts (so
the repeats are nested).? I also have a few covariates.? I am a complete novice
in R, being used to using SPSS.? SPSS lets me build an ordinal model