Open kylebaron opened 8 years ago
hi Kyle! is this going to be a real world example where a published work can be followed, or will you be providing some background material for folks to have a guess on the approach you may take.
Great proposal! đź‘Ť
Do you want to do this June 10?
Can you do this the following week. Folks will be just returning from PAGE. It doesn't have to be a Friday ..
On Thu, Jun 2, 2016, 6:55 AM Kyle Baron notifications@github.com wrote:
Do you want to do this June 10?
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~Vijay
Yeah ... I'll look for a day the next week. Â Thanks for catching that.
KTB
On Thu, Jun 2, 2016, at 06:48, Vijay Ivaturi wrote:
Can you do this the following week. Folks will be just returning from PAGE. It doesn't have to be a Friday ..
On Thu, Jun 2, 2016, 6:55 AM Kyle Baron notifications@github.com wrote:
Do you want to do this June 10?
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Links:
@vjd June 24?
yup! lets lock it down
@kylebmetrum can you please setup a youtube link so that we can be ready to send out an email blast on Monday
None of the links: https://www.youtube.com/watch?v=TqEBhJ1kK3A or https://www.youtube.com/watch?v=ZGv1T9xp9uA&t=0s worked for me. They last less than 5 minutes. Could you please upload the full session? Thanks :)
Thanks Kyle :+1:
The BMI
summaries for the two data sets should have been:
> data %>% group_by(set) %>% summarise(mean=mean(BMI))
Source: local data frame [2 x 2]
set mean
<dbl> <dbl>
1 1 26.95538
2 2 29.54463
I mentioned that the PTS
literature I was using came from Pfizer pharamcometrics. Ken Kowalski and Matt Hutmacher were already at Ann Arbor Pharmacometrics Group
Hi Kayle,
Really nice presentation on Friday. Thank you! Will you be able to share the dataset and the .R?
Thanks, Bojan
Thanks, @blalovic . I believe this will run if you get all the packages installed: https://github.com/mrgsolve/examples/tree/master/PrTS
People can clone the repo or just download a .zip
file here: https://github.com/mrgsolve/examples
Let me know via issue tracker if something isn't there that is required to run and I'll get it updated.
R
code, model, and data for the session here