On Thu, 2010-08-19 at 04:42 +0800, elaine kuo wrote:
Yes, I tried the example in the ?dredge and agreed that something else
caused the mistake.
Aside from the cause which takes time to clarify (16 explanatory
variables in the model),
I would like to ask another question.
Please
Please kindly advise if it is possible to show the singular model with
only one certain variable using the command subset. (or maybe others)
I tried the command subset=X3 but it returned multiple models
including X3.
The above demand might look unnecessary when visual inspection
On Fri, 2010-08-20 at 06:31 +0800, elaine kuo wrote:
snip /
Oh, actually, I suppose you could automate this, so it will
return all
models with single variable:
dd - dredge(lm1)
parms - !is.na(dd[, -c(1, (ncol(dd) -
On Wed, 2010-08-18 at 05:42 +0800, elaine kuo wrote:
Thank you.
Most of the answers solved the puzzles.
Q2
I tried to display sub-model with only temp_ran using the
code below but
failed.
Please kindly suggest the potential failure cause.
On Wed, 2010-08-18 at 08:51 +0100, Gavin Simpson wrote:
On Wed, 2010-08-18 at 05:42 +0800, elaine kuo wrote:
Thank you.
Most of the answers solved the puzzles.
snip /
= Please explain why fitted lm is better for GLM.
Seriously? A GLM specified as glm(, family = gaussian) is the
Hmmm. Thinking some more, I might not have answered your (unstated)
question. What do your mean by GLM?
= I meant generalized linear model as well. Thanks for the references.
The first one was mentioned first in my life time after keeping asking
the same question.
I mean the Generalized
Please suggest how to define subset in my case
How would I know? I still haven't seen your data. You seem to be
mistaken on what is and is not included in your model and you fitted it.
What hope do we have...? However, given the model 'mig.stds' from above
in this email:
mig.stds
On Wed, 2010-08-18 at 17:37 +0800, elaine kuo wrote:
snip /
= I posted it for help, after following the manual with the
command dredge but receiving an error message two days ago.
command target-dredge(mig.stds, subset = temp_max)
error in eval(expr,
A cause other than data based on standardized regression was identified.
It is that the manual command added with target - at the left hand side.
C1 did not work but C2 did.
C1 target-dredge(mig.stds, subset = temp_max)
C2 dredge(mig.stds, subset = temp_max)
Elaine
On Wed, Aug 18, 2010
On Wed, 2010-08-18 at 21:11 +0800, elaine kuo wrote:
A cause other than data based on standardized regression
was identified.
It is that the manual command added with target - at the left hand
side.
C1 did not work but C2 did.
C1 target-dredge(mig.stds, subset = temp_max)
C2
Yes, I tried the example in the ?dredge and agreed that something else
caused the mistake.
Aside from the cause which takes time to clarify (16 explanatory variables
in the model),
I would like to ask another question.
Please kindly advise if it is possible to show the singular model with only
On Tue, 2010-08-17 at 16:05 +0800, elaine kuo wrote:
Hello,
Why did you decide to post the exact same message from two different
email addresses??
I am using package MuMIn to calculate AIC for a full model with 10
explanatory variables.
Thanks in advance in sharing your experience.
Q1
In
Thank you.
Most of the answers solved the puzzles.
Q2
I tried to display sub-model with only temp_ran using the code below but
failed.
Please kindly suggest the potential failure cause.
code
library(MuMIn)
datam -read.csv(c:/migration/Mig_ratio_20100817.csv,header=T,
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