Displaying 6 results from an estimated 6 matches for "meanage".
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2007 Feb 10
2
error using user-defined link function with mixed models (LMER)
...osureDays)$linkinv, variance=variance,
dev.resids=dev.resids, aic=aic,
mu.eta=logexp(ExposureDays)$mu.eta, initialize=initialize,
validmu=validmu, valideta=logexp$valideta), class = "family")
}
Now, here's how it works in a GLM:
> apfa.glm.1<-glm(Success~MeanAge+I(MeanAge^2), family=logexposure(link="logexp", ExposureDays=apfa4$Days), data=apfa4)
> summary(apfa.glm.1)
Call:
glm(formula = Success ~ MeanAge + I(MeanAge^2), family =
logexposure(link = "logexp",
ExposureDays = apfa4$Days), data = apfa4)
Deviance Residuals:
Min...
2008 Aug 13
1
re placing default labels in lattice
Dear all,
I am having a little trouble deciphering how to change the default x-axis
labels in a lattice xyplot (or any type of lattice plot for that matter). I
have tried using the "demo("labels") function but the code is truncated at
precisely the wrong moment!
All I am trying to do is to add superscript to two of the labels for which i
tried using the expression function. It
2004 May 27
1
Getting the same values of adjusted mean and standard errors as SAS
...rors at the adjusted means for Gender
using values from predict. So I attempted to get them directly from the
residuals as follows. The data is at the end
of the email. While there is a match for the males there is a large
difference for the females indicating that what I am doing is wrong.
#
meanAge <- mean(dd$Age)
meanAgeM <- mean(dd$Age[d$Gender=="M"])
meanAgeF <- mean(dd$Age[d$Gender=="F"])
# determine adjusted means for the males and females at meanAge using
predict
# set up data frame to get predicted values at meanAge
evalDF <- data.frame(Age = meanAge,...
2004 Feb 26
1
Distance and Aggregate Data - Again...
I appreciate the help I've been given so far. The issue I face is
that the data I'm working with has 53000 rows, so in calculating
distance, finding all recids that fall within 2km and summing the
population, etc. - a) takes too long and b) have no sense of progress.
Below is a loop that reads each recid one at a time, calculates the
distance and identifies the recids that fall within 2
2009 Jul 24
1
metafor
I had found the author's (Wolfgang Viechtbauer) earlier meta-analytic code in R, MiMa, useful. so I have been exploring metafor using an example dataset from MiMa. metafor provides a lot more. However, MiMa provided parameter estimates, standard errors, z values, etc. for individual moderators in the meta-analysis, but I don't see how to obtain these from metafor. Have you any help
2012 Nov 27
4
Fitting and plotting a coxph with survfit, package(surv)
Hi Dear R-users
I have a database with 18000 observations and 20 variables. I am running
cox regression on five variables and trying to use survfit to plot the
survival based on a specific variable without success.
Lets say I have the following coxph:
>library(survival)
>fit <- coxph(Surv(futime, fustat) ~ age + rx, data = ovarian)
>fit
what I am trying to do is plot a survival