Hi
If I'm right you are trying to find peaks with about the same mass as the
maximum intensity.
Why not make the difference between the maximum mass and the list of masses
subsetted by intensity.
then subset the difference with a thresholded value.
If I'm not understanding your question clear,
Dear Uwe Ligges,
better
good
bad
Goup1
16
71
37
Group2
0
4
61
Group3
1
6
57
My hypothesis is if the three groups,that is group1, group2,and group3,
have the same distributions on coloumns? If not, which one is difference
from which one?
On 7/20/07, Uwe Ligges [EMAIL
Dear List Members,
I would very much appreciate any pointers you could give me on the following
matter:
Main Question:
To what extent does the rule that it is unreasonable to talk about main
effects if there are significant interactions in a model depend upon effect
size [of the significant
On 21-Jul-07 12:46:46, zhijie zhang wrote:
Dear Uwe Ligges,
[restructuring the given layout of the data]
Grp1 Grp2Grp3
Better 16 0 [ 1]1 | 17
|
Good 71 4 [ 10]6 | 81
|
Bad 3761
Statistical significance is detectability, and depends upon the
size of the sample as well as the effect. A large enough experiment
will result in statistical detectability of almost every interaction
action term allowed.
This is why estimation, not testing, has become the consensus
Hi Robert,
Thank you for your reply, and for what appears to be some good/sound
practical advice on managing this kind of problem.
Best Regards,
Mark.
Robert A LaBudde wrote:
Statistical significance is detectability, and depends upon the
size of the sample as well as the effect. A
Dear all,
This question is partly statistics and partly R and I apologise in
advance for my (usual) verbosity! My data is a little more complicated
that this suggests, but essentially I have proportion data from
different studies (id), each from a specific country and region of the
World. I would
Hi
I am first looking at genalg as a starting point for GA implementation in R. I
have a couple of questions regarding this package and GA implementation in
general. If you could provide some hints on these questions, I would really
appreciate. Thank you in advance.
1. I found two methods for
One of the problems is that you are probably paging on your system
with an object that size (24 x 1000). This is about 1GB for a
single object:
set.seed(123)
n - 24
system.time({
+ genoT - lapply(1:n, function(i) factor(sample(c(AA,
+ AB, BB), 1000, prob=c(1000, 1, 1), rep=T)))
+ })
Jim,
No, this is _not the problem. If you go to my 1st mail I have a monster
(at least was when I purchased it) with 32GB (sic :-) of RAM and 4 dual
core AMD64 285 (the fastest at that time and still pretty fast now :-)
The machine stats paging when I run 2 copies of R working on two things
The problem is in the way that 'as.data.frame' works. Use Rprof on a
small list and you will see where it is spending its time.
Now if you are really sure that all your data is consistent with being
a data frame,
you can create your own dataframe structure your self. Not that I
would advocate
N A M E : Leona, A L T E R : 33, B E R U F : Hausfrau
Na, mein Geiler!
Ist dir auch schon so heiß wie mir? Ich habe einfach die Nase voll, dass mein
Mann nie zu Hause ist und mir meine Bedürfnisse nicht befriedigen kann. Jetzt
bin ich gezwungen mir einen richtigen Lover zu suchen, der mich
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