Hi all,
I've been attempting to fit a logistic glmm using glmmPQL in order to
estimate variance components for a score test, where the model is of the
form logit(mu) = X*a+ Z1*b1 + Z2*b2. Z1 and Z2 are actually reduced rank
square root matrices of the assumed covariance structure (up to a
Flip date and q in your formula, you've got them backwards from what you've
said you're trying to model.
armstrwa wrote:
Yeah, I did look at the help(loess) page, but I wasn't really sure what to
do with that. I was inputting it as:
test-loess(date ~ q,data.frame(date,q),span=0.5)
This is where which.max() comes in handy
n-length(x)
x.c-rep(0,n)
for(i in 1:n){
x.c[i]-which.max[y1]
}
x.c is then a vector of x coordinates for the maximum for columns
y1,y2,...,yn
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That actually won't work. max(y) will give a value, not a coordinate, so
x[max(y)] is definitely not what you want.
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64 Bit R w/JAGS seems to be stalling out as well, I ran a test run of 100
iterations and it's been hanging for 8 hours so that doesn't seem to be the
solution. I'll take a look at PYMC. That CppBUGS package looks pretty
interesting, I'll keep my eye on it.
My C programming book arrives today
Try using which()
Something like data.frame(dataset[which(dataset[,3]==text3),])
e-letter wrote:
Readers,
For a data set:
text1,23,text2,45
text1,23,text3,78
text1,23,text3,56
text1,23,text2,45
The following command was entered:
datasubset-data.frame(dataset[,3]==text3)
The
Just use vect_2_id as a subsetting index for vect_1, ie:
vect_2-vect_1[vect_2_id]
Vincy Pyne wrote:
Dear R helpers
Suppose I have a vector as
vect_1 = c(AAA, AA, A, BBB, BB, B, CCC)
vect_1_id = c(1:length(vect_1))
Through some process I obtain
vect_2_id = c(2, 3, 7), then I
Has anybody had issues running MCMC (either BUGS or JAGS) on data sets of
this magnitude (ie 30k x 20-30). I've been trying to run a hierarchical
random effects model on expression data but R completely stalls out on jobs
run on 32bit R on our server (doesn't respond...then eventually crashes out
The reason this doesn't work is because R thinks that in the command
as.character(c(first,second)) that first and second are variables that
exist within the working environment. Since they don't (I assume), R
doesn't know what to do with the command. Using the quotes indicates to R
that you're
You mean like cumsum()?
a-1:10
b-cumsum(a)
b
[1] 1 3 6 10 15 21 28 36 45 55
-Nick Larson
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