Displaying 4 results from an estimated 4 matches for "ran2".
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2005 Feb 23
1
How to conctruct an inner grouping for nlme random statement?
.... Im hoping someone can help with a grouping
question related to the "random=" statement within the
nlme function. How do you specify that some grouping
levels are inner to others? I tried several things,
given below.
Lets say I have a data frame with five variables,
resp, cov1, ran1, ran2, group1, and group 2. The
formula is resp~cov1 + ran1 + ran2, where the ran are
random variables. The data is of length 80, and there
are 4 unique factors in group1 and 20 unique factors
in group2. These are factors related to ran1 and
ran2, respectively.
The difficult part is that I want to...
2012 Mar 22
2
Randomly select elements based on criteria
Hi,
I want to randomly pick 2 fish born the same day but I need those
individuals to be from different families. My table includes 1787 fish
distributed in 948 families. An example of a subset of fish born in one
specific day would look like:
>fish
fam born spawn
25 46 43
25 46 56
26 46 50
43 46 43
131 46 43
133 46 64
136 46 43
136 46 42
136 46 50
136 46 85
137 46 64
142 46 85
144 46 56
2008 Jan 08
2
plotting help needed
Dear all,
i need some help with plotting.
the specific problem is the following:
#FYI
a=100
b=95
d=94.5
e=70
all=c(a,b)
all2=c(d,e)
plot(all,type="b",col="blue",xlim=c(1,4),ylim=c(20,150))
lines(all2,type="o",col="yellow")
this does work so far, but ...
i´d like to have 4 intersects, just named by characters.. no scale
please.
the second problem is,
2000 Apr 07
1
lme questions (was difference between splus and R)
...the models somehow
> > > different? Another possibility is that one is using ordinary likelihood
> > > and the other is using REML. I see from the R documentation that REML
> > > is indeed used here and I thought the same was true of Splus.
>
> > (The fits for ran2 give the same statistics, so look both to be REML.)
> > You should not be using anova on lme models fitted with REML. Although in
> > this case they are using the same fixed-effects model and so are on
> > comparable data, the supporting theory is for ML fits only, AFAIK.
>
&...