Open netterie opened 4 years ago
I added a folder "sims_100" with results and analysis of 100 simulations. You can read in the 100 sim results from the .csv files. Results summarized below and in the html file.
Also:
network | largest.Mean | largest.PercOf200 | what's online |
---|---|---|---|
precov | 200.00 | 100.0 | 200 (100%) |
essl | 59.83 | 29.9 | 53 (26.5%) |
comb.1 | 181.48 | 90.7 | 181 (90.5%) |
comb.2 | 125.43 | 62.7 | 142 (71%) |
network | geo.3.Mean | geo.3.PercOf200 | what's online |
---|---|---|---|
precov | 199.0 | 99.5 | 199 (99.5%) |
essl | 4.7 | 2.3 | 4.2 (2.11%) |
comb.1 | 33.5 | 16.8 | 36.8 |
comb.2 | 11.9 | 6.0 | 12.1 |
network | geo.6.Mean | geo.6.PercOf200 | what's online |
---|---|---|---|
precov | 199.0 | 99.5 | 199 (99.5%) |
essl | 13.4 | 6.7 | 10.1 (5.05%) |
comb.1 | 145.7 | 72.9 | 147.2 |
comb.2 | 48.5 | 24.2 | 52.6 |
Awesomeness @netterie! We need to add these means into the text, for sure, in some form or other.
My one concern is the timing: a bunch of articles are about to go out citing our current numbers that look at one specific scenario, and the current plots. Even if these numbers are more robust, it'll add confusion if we swap them out at this exact moment. So I see two options:
Wait a few days and then rewrite the prose throughout to talk about means and use the new numbers.
Add to the prose so that we present numbers for both a specific scenario reflected in the network plots, and also the means across 100 runs. This is scientifically satisfying and solves our media issue above, but I fear it will be information overload for this audience at this stage.
I lean moderately strongly towards #1, but welcome thoughts.
@sgoodreau Sounds good Steve!
Steve Hood speaking up. I think this this topic is where our two approaches could be linked.
My shinyapp steve-hood.shinyapps.io/OneFriend allows people to explore not just the senarios you have looked at but others near by and plot out how changes to input parameters change the outputs. I have some text suggesting ways to explore. All of the results are saved in an archive.
My steve-hood.shinyapps.io/OneFriendDataView allows exploration of archive of solutions. When/if there is enough data I'd like to add central tendency and confidence interval graphics to the plots.
I mentioned to Steve G. by email but am recording here so when there is time how to integrate can be considere. I'd be glad to make changes to defaults starting points for the app, and variables stored in my archive if it would be more helpful to you. Currently I have not pushed my sites to a wider audience but I imagine a link to your site would generate more traffic and better idea of the distribution of solutions.
Thanks again @SteveHood Hood. I'm still struggling to find time to look at this in depth, but we have our lab meeting tomorrow and I'll see if others may be able. I agree that linking from us to you would be useful, although now that the press has all passed it does seem like our hits have plummeted back to near-zero. Still worth doing of course.
Sorry for the late reply, this message slipped my notice. I welcome corrections to any links back to you on my site. I am getting a modest amount of traffic, probably because I did a bit of Facebook bragging about your site linking to mine!
On Tue, May 19, 2020 at 5:49 PM Steven Goodreau notifications@github.com wrote:
Thanks again @SteveHood https://github.com/SteveHood Hood. I'm still struggling to find time to look at this in depth, but we have our lab meeting tomorrow and I'll see if others may be able. I agree that linking from us to you would be useful, although now that the press has all passed it does seem like our hits have plummeted back to near-zero. Still worth doing of course.
— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub https://github.com/statnet/COVID-JustOneFriend/issues/14#issuecomment-631168388, or unsubscribe https://github.com/notifications/unsubscribe-auth/APR2VNMM4RP6GVS33Z7H4DLRSMSK7ANCNFSM4MI5MJVQ .
Title says it all - picking up the conversation from #10 re: the summary table