By the way, it works on an iPad too.
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That's really awesome.
Some feature requests/questions, in no particular
order or priority:
1. The posterior summary stats is wasting a lot of
horizontal space (super premium on the web) for the
control. Is there some way to minimize that when it's
not being used? Maybe put it above or below the plot?
2. When you trim the number of entries in the table,
it'd be great to have the trim be for containers.
A nice option might be to have each parameter unfold
or collapse, as in a standard hierarchical file browser.
Then the trim might be how many to show when it's expanded.
I doubt anyone's going to have enough named parameters that
including them all is problematic.
3. For tables of numbers, there should always be right
alignment so the decimal places line up if possible. Nothing's
going to solve the parameters with different scales problems
other than scientific notation throughout.
4. The show/hide customization thing on the parameters plot
is hard to see. I think we'll need conventions as to where
these general controls go. For something this general, not
having it on the display itself makes sense to me if that's
possible.
5. I didn't understand the "ALL theta_raw" vs. "theta_raw"
option, even after poking at it a bit. "theta_raw" seems to
be a synonym for "theta[1]"?
6. The greyed out names under the table don't seem to
work as controls, even thought they look like they'll be
editable because they pop up cursors. I don't see the point
of having those. I changed the 50% to "44%" and got "no records
found". Then after I did that, nothing works at all. So maybe
a "reset table" option would be helpful.
I went into view
table options and changing decimal places reset everything --- this
is probably not what you want to happen in general. Destructive
ops with no "back" button need strong warnings to users, maybe
in the form of a modal dialog box.
7. I don't know what First/Previous/Next/Last are for.
They look like live buttons but can't be clicked.
8. In the search box, what am I supposed to be searching for?
It looks like I can enter parameters? If I select "mu_raw"
and get just that, then edit the box on the bottom, it needs
to be one of the ones I'm viewing, which seems confusing.
9. What does the "Estimate" control at the top do? It doesn't
seem to do anything when I click it, yet it looks like something
clickable.
10. Andrew has told me time and time again not to use "samples"
when I mean "draws". A sample is a collection of draws. I've
almost broken myself of the habit, but it's tough, because a whole
lot of the literature conflates "sample" and "draw". The "effective
sample size" is the effective size of the sample. A pure MC
sample has an effective sample size of the number of draws.
So the label should maybe be "effective sample size / draws" or
"n_eff / iterations" --- run it by Andrew and let him decide.
11. The summary of sample parameters is fantastic. Maybe an
option to include sd or intervals would make it even fantasticker.
12. How do you set the maximum lag for the correlation plots?
Oh, I see --- you've got customization for everything. That's
really cool. I still think the customization should be a bit more
front-and-center rather than in small text to the right. Maybe
in the same control box as the one that lets you enter parameter names.
## mean se_mean sd 2.5% 25% 50% 75% 97.5% n_eff Rhat
## beta[1] 1.3 0.1 3.4 -5.3 -1.0 1.3 3.6 8.0 1518 1
## beta[2] 0.1 0.0 0.8 -1.5 -0.4 0.1 0.6 1.7 2526 1
## beta[3] -0.7 0.0 1.5 -3.8 -1.7 -0.7 0.2 2.2 1435 1
## beta[4] -2.1 0.0 1.5 -5.0 -3.1 -2.1 -1.1 0.9 1218 1
## beta[5] -1.7 0.0 1.4 -4.5 -2.6 -1.7 -0.9 1.1 1162 1
## beta[6] -3.1 0.0 1.5 -6.1 -4.1 -3.1 -2.2 -0.1 1138 1
## beta[7] -5.0 0.0 1.8 -8.5 -6.2 -5.0 -3.9 -1.5 1342 1
## beta[8] 1.1 0.0 1.0 -1.0 0.4 1.0 1.7 3.1 1610 1
## beta[9] 0.6 0.0 1.1 -1.6 -0.1 0.6 1.3 2.6 1406 1
## beta[10] 1.0 0.0 1.2 -1.5 0.2 1.0 1.8 3.3 1404 1
## beta[11] -0.3 0.0 1.4 -3.0 -1.2 -0.3 0.7 2.5 1360 1
## beta[12] -1.1 0.0 1.6 -4.1 -2.1 -1.1 0.0 2.0 1484 1
## beta[13] -0.2 0.0 0.4 -0.9 -0.5 -0.2 0.0 0.5 1753 1
## sigma 1.9 0.0 0.2 1.5 1.7 1.8 2.0 2.3 1917 1
## log_prior -13.0 0.0 0.3 -13.6 -13.1 -12.9 -12.8 -12.6 1121 1
## lp__ -126.6 0.1 3.0 -133.4 -128.4 -126.2 -124.4 -121.9 1108 1
names(post) <- c(paste0("z_", colnames(X)), "sigma", colnames(X), "log_prior", as.character(PErisk$country), "lp__")
> post
Inference for Stan model: template.
4 chains, each with iter=2000; warmup=1000; thin=1;
post-warmup draws per chain=1000, total post-warmup draws=4000.
mean se_mean sd 2.5% 25% 50% 75% 97.5% n_eff Rhat
z_(Intercept) 0.13 0.01 0.35 -0.56 -0.11 0.13 0.36 0.81 1712 1
z_courts1 0.01 0.00 0.08 -0.15 -0.04 0.01 0.06 0.17 2086 1
z_prsexp21 -0.08 0.00 0.15 -0.36 -0.17 -0.08 0.02 0.21 1688 1
z_prsexp22 -0.21 0.00 0.14 -0.51 -0.31 -0.22 -0.12 0.08 1558 1
z_prsexp23 -0.18 0.00 0.13 -0.44 -0.27 -0.18 -0.09 0.08 1422 1
z_prsexp24 -0.32 0.00 0.14 -0.60 -0.42 -0.32 -0.23 -0.03 1354 1
z_prsexp25 -0.51 0.00 0.17 -0.84 -0.62 -0.51 -0.40 -0.16 1439 1
z_prscorr21 0.11 0.00 0.11 -0.10 0.04 0.11 0.17 0.32 1561 1
z_prscorr22 0.06 0.00 0.11 -0.16 -0.02 0.06 0.13 0.28 1180 1
z_prscorr23 0.09 0.00 0.12 -0.15 0.01 0.10 0.17 0.33 1160 1
z_prscorr24 -0.03 0.00 0.14 -0.30 -0.12 -0.03 0.06 0.24 1268 1
z_prscorr25 -0.11 0.00 0.15 -0.41 -0.22 -0.12 -0.01 0.19 1249 1
z_gdpw2 -0.02 0.00 0.04 -0.09 -0.05 -0.02 0.00 0.05 1781 1
sigma 1.86 0.00 0.19 1.53 1.72 1.85 1.97 2.27 2066 1
(Intercept) 1.29 0.08 3.50 -5.65 -1.10 1.31 3.62 8.07 1712 1
courts1 0.11 0.02 0.82 -1.52 -0.45 0.12 0.65 1.70 2086 1
prsexp21 -0.77 0.04 1.46 -3.64 -1.74 -0.79 0.19 2.07 1688 1
prsexp22 -2.13 0.04 1.44 -5.06 -3.07 -2.16 -1.18 0.76 1558 1
prsexp23 -1.80 0.04 1.34 -4.45 -2.70 -1.77 -0.92 0.82 1422 1
prsexp24 -3.19 0.04 1.44 -6.00 -4.16 -3.18 -2.25 -0.32 1354 1
prsexp25 -5.06 0.05 1.71 -8.43 -6.16 -5.09 -3.96 -1.62 1439 1
prscorr21 1.07 0.03 1.06 -0.97 0.36 1.05 1.75 3.19 1561 1
prscorr22 0.58 0.03 1.10 -1.57 -0.16 0.57 1.29 2.83 1180 1
prscorr23 0.95 0.04 1.22 -1.50 0.13 0.95 1.75 3.34 1160 1
prscorr24 -0.31 0.04 1.39 -3.00 -1.25 -0.30 0.60 2.42 1268 1
prscorr25 -1.13 0.04 1.55 -4.12 -2.18 -1.15 -0.06 1.94 1249 1
gdpw2 -0.20 0.01 0.37 -0.92 -0.46 -0.21 0.04 0.53 1781 1
log_prior -12.97 0.01 0.27 -13.65 -13.10 -12.92 -12.78 -12.60 1180 1
Argentina -0.51 0.03 2.13 -4.61 -1.91 -0.52 0.92 3.59 3890 1
Australia -6.04 0.03 2.04 -10.00 -7.42 -6.06 -4.69 -1.98 4000 1
Austria -5.98 0.03 2.02 -9.98 -7.33 -5.97 -4.64 -2.04 3948 1
Bangladesh -1.22 0.04 2.13 -5.34 -2.65 -1.20 0.23 2.92 3605 1
Belgium -6.09 0.03 2.04 -10.06 -7.43 -6.11 -4.74 -2.17 3876 1
Bolivia -0.49 0.05 2.35 -5.12 -2.00 -0.50 1.08 4.08 2441 1
Botswana -2.62 0.03 1.98 -6.53 -3.90 -2.64 -1.29 1.22 4000 1
Brazil -2.76 0.03 1.94 -6.54 -4.11 -2.74 -1.47 1.09 4000 1
Burma -0.90 0.03 2.02 -4.73 -2.28 -0.91 0.47 3.13 3880 1
Cameroon -1.11 0.03 2.00 -5.08 -2.43 -1.11 0.24 2.70 4000 1
Canada -6.89 0.03 1.95 -10.68 -8.21 -6.91 -5.62 -2.97 4000 1
Chile -1.72 0.03 2.02 -5.75 -3.07 -1.70 -0.38 2.34 3909 1
Colombia -1.83 0.03 2.00 -5.74 -3.14 -1.82 -0.49 2.12 3898 1
Congo-Kinshasa -0.97 0.04 2.18 -5.29 -2.43 -0.94 0.48 3.16 3608 1
Costa Rica -2.61 0.04 2.14 -6.78 -4.07 -2.57 -1.24 1.71 3603 1
Cote d'Ivoire -2.89 0.03 2.04 -6.92 -4.24 -2.93 -1.58 1.07 3781 1
Denmark -6.90 0.03 1.97 -10.70 -8.20 -6.89 -5.63 -3.03 4000 1
Dominican Republic -2.07 0.03 1.98 -6.07 -3.36 -2.06 -0.74 1.76 4000 1
Ecuador -1.69 0.03 2.05 -5.70 -3.03 -1.72 -0.37 2.46 4000 1
Finland -6.83 0.03 1.98 -10.71 -8.17 -6.81 -5.52 -3.01 3988 1
Gambia, The -2.91 0.03 2.06 -6.91 -4.29 -2.86 -1.56 1.04 4000 1
Ghana -1.32 0.03 2.09 -5.39 -2.72 -1.35 0.04 2.82 3713 1
Greece -1.54 0.04 2.08 -5.71 -2.90 -1.52 -0.14 2.57 3429 1
Hungary -2.77 0.03 2.00 -6.84 -4.08 -2.75 -1.45 1.05 4000 1
India -2.98 0.03 2.12 -7.20 -4.36 -2.98 -1.49 1.08 4000 1
Indonesia -2.27 0.04 2.12 -6.39 -3.68 -2.27 -0.84 1.98 3031 1
Iran -0.01 0.05 2.29 -4.44 -1.54 -0.04 1.52 4.54 2577 1
Ireland -5.99 0.03 2.00 -9.88 -7.35 -6.01 -4.65 -2.06 4000 1
Israel -4.27 0.03 2.16 -8.49 -5.73 -4.25 -2.84 -0.04 4000 1
Italy -3.00 0.03 2.03 -7.06 -4.36 -2.96 -1.64 1.02 3839 1
Japan -5.98 0.03 1.99 -9.90 -7.34 -5.97 -4.62 -2.12 4000 1
Kenya -1.84 0.03 2.06 -5.92 -3.21 -1.78 -0.48 2.24 4000 1
Korea, South -2.75 0.04 2.15 -6.98 -4.20 -2.75 -1.29 1.40 3495 1
Malawi -1.00 0.04 2.16 -5.17 -2.38 -1.02 0.43 3.30 3148 1
Malaysia -2.73 0.03 1.98 -6.62 -4.03 -2.73 -1.42 1.04 4000 1
Mexico -2.26 0.03 2.04 -6.35 -3.55 -2.26 -0.92 1.72 4000 1
Morocco -1.25 0.03 1.98 -5.07 -2.57 -1.26 0.09 2.76 4000 1
New Zealand -6.89 0.03 1.96 -10.72 -8.21 -6.92 -5.57 -3.05 4000 1
Nigeria 0.04 0.03 2.05 -3.96 -1.32 0.04 1.40 4.11 3746 1
Norway -6.89 0.03 2.01 -10.82 -8.22 -6.86 -5.53 -2.98 3412 1
Papua New Guinea -2.90 0.03 2.05 -6.81 -4.29 -2.90 -1.51 1.19 4000 1
Paraguay -2.23 0.04 2.12 -6.48 -3.68 -2.21 -0.83 1.96 2756 1
Philippines -0.16 0.03 2.04 -4.09 -1.58 -0.19 1.24 3.83 4000 1
Poland -1.33 0.03 2.04 -5.38 -2.69 -1.30 0.04 2.61 4000 1
Portugal -2.78 0.03 2.00 -6.74 -4.11 -2.77 -1.45 1.16 3909 1
Sierra Leone -1.00 0.03 1.98 -4.86 -2.30 -1.01 0.29 2.94 3623 1
Singapore -6.84 0.03 1.97 -10.64 -8.18 -6.88 -5.54 -2.86 4000 1
South Africa -2.73 0.03 2.11 -6.93 -4.16 -2.74 -1.25 1.33 4000 1
Spain -4.80 0.03 2.11 -8.78 -6.18 -4.82 -3.39 -0.60 4000 1
Sri Lanka -2.01 0.03 1.98 -5.85 -3.36 -2.01 -0.68 1.81 4000 1
Sweden -4.98 0.03 2.15 -9.27 -6.39 -4.96 -3.53 -0.83 4000 1
Switzerland -6.88 0.03 1.97 -10.75 -8.23 -6.88 -5.58 -2.92 4000 1
Syria -0.39 0.03 2.13 -4.77 -1.79 -0.39 1.04 3.80 4000 1
Thailand -1.68 0.03 1.97 -5.48 -2.99 -1.69 -0.39 2.27 3634 1
Togo -2.29 0.03 2.06 -6.30 -3.68 -2.29 -0.88 1.73 4000 1
Tunisia -2.07 0.03 2.00 -6.09 -3.40 -2.04 -0.74 1.88 3943 1
Turkey -1.75 0.03 2.01 -5.71 -3.10 -1.75 -0.41 2.12 3799 1
United Kingdom -6.87 0.03 2.00 -10.87 -8.18 -6.88 -5.55 -2.92 3736 1
Uruguay -2.20 0.03 2.00 -6.14 -3.53 -2.19 -0.85 1.67 4000 1
Venezuela -1.80 0.03 2.05 -5.76 -3.19 -1.80 -0.41 2.28 3766 1
Zambia -1.07 0.03 1.94 -4.98 -2.43 -1.04 0.26 2.64 4000 1
Zimbabwe -1.59 0.03 2.01 -5.64 -2.95 -1.57 -0.20 2.29 4000 1
lp__ -126.51 0.09 2.91 -133.23 -128.20 -126.14 -124.41 -121.81 1099 1
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The other killer feature for the shinyapps version would be to have a button where people could upload the .csv files produced by whatever interface to Stan they happened to use. Then call read_stan_csv to create a stanfit object and launch_shinystan() on that.