Displaying 7 results from an estimated 7 matches for "age0".
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2008 Nov 06
1
Panics and freeze using age0
I'm running FreeBSD 7.1-PRERELEASE over Asus P5Q motherboard.
Such board comes with an nic requiring age0 driver.
When the nic is under load, such trasferring big amount of data
over gigabit connection (let's say some gigabyte backups),
the computer hangs, sometimes with panic, sometimes freezing.
Before that i was using an Intel nic with em0 driver
and 7.0-Stable#2.. and that configuration was re...
2003 Dec 17
5
beginner programming question
...ady.
I have a (rather theoretical) programming problem for which I have found
a solution, but I feel it is a rather poor one. I wonder if there's some
other (more clever) solution, using (maybe?) vectorization or
subscripting.
A toy example would be:
rel1 rel2 rel3 age0 age1 age2 age3
sex0 sex1 sex2 sex3
1 3 NA 25 23 2 NA
1 2 1 NA
4 1 3 35 67 34 10
2 2 1 2
1 4 4...
2011 Feb 28
3
Measuring correlations in repeated measures data
...ont dataset from package nlme, where the model is:
fit <- lmer(distance ~ age + (1 | Subject), data=Orthodont)
I would like to measure the correlation b/t the variable "distance" at different ages such that I would have a matrix of correlation coefficients like the following:
age08 age09 age10 age11 age12 age13 age14
age08 1
age09 1
age10 1
age11 1
age12 1
age13 1
age14 1
The idea would be to demonstrate that the correlations b/...
2006 Mar 17
1
nlme predict with se?
...3. Summer foothills Half 1.25 1 AksToKa
8 4. Fall foothills Half 1.50 1 AksToKa
9 1. Fall-Winter foothills Meat 0.60 1 AksToKa
10 2. Spring foothills Meat 1.00 1 AksToKa
> kew11.nlme$call
nlme.formula(model = lw ~ SSasympOff(ageyr2, mw, lgr, age0),
data = kew, fixed = list(mw + lgr + age0 ~ Season * MBreed +
ecoreg + ecoreg:Season), random = list(farm = list(mw ~
1, lgr ~ 1), sheep = list(mw ~ 1)), start = c(fixef
(kew8.nlme)[1:15],
0, 0, 0, 0, 0, 0, 0, 0, 0, fixef(kew8.nlme)[16:30], 0,
0, 0, 0, 0,...
2009 Feb 06
1
Joint test
...me up with, with the obvious
shortcomings.
modelPG2 <- coxph(Surv(t0, t, d) ~ civilian + monarch + txmonarch
+ civwar + lngdpcap + growth
+ tropen4 + dopen4
+ lnpop
+ age0 + entry1 + powtimes
+ initiator2 + defender2 + inherit
+ milwinsh + millosesh + mildrawsh +
milwinwar + millosewar + mildrawwar
+ civwinsh + civlosesh + civdrawsh +
civwinwar + civlosewar + civdrawwar...
2009 Dec 15
1
error when using multcomp and lm
...ge)
summary(m1)
RESULTS of the model:
summary(m1)
Call:
lm(formula = inc ~ 0 + Age + Crosstype + Sex, data = Data.age)
Residuals:
Min 1Q Median 3Q Max
-0.87180 -0.34002 -0.02702 0.27710 2.17820
Coefficients:
Estimate Std. Error t value Pr(>|t|)
Age0 1.35164 0.03028 44.632 < 2e-16 ***
Age1 1.13451 0.03015 37.626 < 2e-16 ***
Age2 0.89568 0.03644 24.582 < 2e-16 ***
CrosstypeBGxB -0.21644 0.06198 -3.492 0.000500 ***
CrosstypeBGxG -0.22274 0.09273 -2.402 0.016484 *
CrosstypeF...
2013 Jan 06
4
random effects model
Hi A.K
Regarding my question on comparing normal/ obese/overweight with blood
pressure change, I did finally as per the first suggestion of stacking the
data and creating a normal category . This only gives me a obese not obese
14, but when I did with the wide format hoping to get a
obese14,normal14,overweight 14 Vs hibp 21, i could not complete any of the
models.
This time I classified obese=1