rge as I increase the size of the
data set, or have a reasonable distribution over several bootstrap
samples. This suggests to me there is a singularity or something in
solving for the random effects correlation. Does anyone have any
insight?
Thanks,
Kurt Sm
I am having difficulty finding the covariance for the random effects in
a mixed effects model.
I fit this model:
fm1 <- lmer(fpg ~ 1 + time + (1|ID) + (0+time|ID),fpg_lme)
and want to find the covariance between the time and intercept random effects.
I tried using VarCorr (see below) but it does
I am running into a problem using 'mix' for multiple imputation (over
continuous and categorical variables).
For the way I will be using this I would like to create an imputation
model on some training data set and then use this model to impute
missing values for a different set of individuals (i.
rg [mailto:r-help-boun...@r-project.org] On
> Behalf Of Greg Snow
> Sent: Friday, July 03, 2009 7:00 PM
> To: Kurt Smith; r-help@r-project.org
> Subject: Re: [R] Remove all spaces from a string so it can be used by
> assign()
>
> The only people who should use the assign functi
ct: Re: [R] Remove all spaces from a string so it can be used by assign()
>
> On 07/03/2009 02:13 PM, Kurt Smith wrote:
> > Are you sure it would work?
> >
> > It works when I physically enter "56 Fe [1]" but fails when I try to
> > enter that anything ot
Hi
I have a string "56 Fe [1]" that I would like to use as a variable name by
using "assign" however I think the spaces and brackets might be causing R some
trouble.
How can I change the string so that it just becomes 56Fe1 and can be used as a
variable name.
Thank You
Kurt
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