*Edit*
Where "F" position are in the same AgeGr as well.
Thanks,
Josh
On Tue, Apr 28, 2015 at 9:25 PM, Joshua Dixon
wrote:
> *John* - Lot's of missing data for height unfortunately. Which is
> needed for BMI calculation.
>
> How would I look compare very spec
of mine and her daughter were neck-in-neck on
> who got their Ph.D first. What's this "not that young" business?
>
> BTW, a better way to supply sample data is to use the dput() command.
>
> Do a dput(mydata), copy the results into the email and you have supplied
>
Is this homework? Because the list has a no homework policy.
>
> Best regards,
>
> ir. Thierry Onkelinx
> Instituut voor natuur- en bosonderzoek / Research Institute for Nature
> and Forest
> team Biometrie & Kwaliteitszorg / team Biometrics & Quality Assurance
> Kl
gt;> ir. Thierry Onkelinx
>>>> Instituut voor natuur- en bosonderzoek / Research Institute for Nature
>>>> and Forest
>>>> team Biometrie & Kwaliteitszorg / team Biometrics & Quality Assurance
>>>> Kliniekstraat 25
>>>&
> ensure that a reasonable answer can be extracted from a given body of data. ~
> John Tukey
>
> 2015-04-27 2:26 GMT+02:00 Joshua Dixon :
>> Hello!
>>
>> Very new to R (10 days), and I've run the linear mixed model, below.
>> Attempting to interpret what it means..
Hello!
Very new to R (10 days), and I've run the linear mixed model, below.
Attempting to interpret what it means... What do I need to look for?
Residuals, correlations of fixed effects?!
How would I look at very specific interactions, such as PREMIER_LEAGUE
(Level) 18 (AgeGr) GK (Position) mean
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