MATLAB: Is it possible using tiledlayout to have one set of tiles with shared tight y-limits and other tiles with much larger y-limits without losing the zoomed view of tiles with tight y-limits

MATLABsubplottiledlayoutylimit

I am trying to create a figure with one set of time-series using 
ylimit = [-100,100];
and another few time-series with the automatically-chosen y-limits, which are different by several orders of magnitude. Each plot shares the same x-axis limits. I want to really zoom in on the dynamics in the first set of time-series. That is the reason for the static y-limits. However, when I add the time-series which have much larger y-limits, the first set of time-series appears to zoom out and the dynamics are very difficult to see.
hf=figure; clf
chans = 16;
t = tiledlayout(chans,1,'TileSpacing','Compact','padding','compact'); %setup tile for all subplots
cmap = colormap; %get current colormap
allColors = cmap(chans:chans:chans*chans,:); %split colormap into diff colors per chan
ylimit = [-100,100]; %set y-limit for zoomed-in view of dynamics
for subplotN=1:chans-3 %plot first set of time-series
    nexttile
    x = 1:2841;
    y = randn(1,2841)*50;
    plot(x,y,'LineWidth',2,'Color',allColors(subplotN,:)) 
    ylim(ylimit)
end
This code yields the following figure. Looks decent, I can see the dynamics:
Now, I add the next time-series with a ylimit that is several orders of magnitude different
nexttile
y1 = randn(1,2841)*1e6;
plot(x,y1,'LineWidth',2,'Color','b');
This causes the previous traces to zoom out so it's way harder to see their dynamics:
How can I fix this? I want the previous time-series to stay zoomed-in as I add the remaining tiles with significantly larger ylimits.
Thank you in advance for any help.

Best Answer

To me, it appears the previous timeseries YAxis Limits have not changed (i.e. it is still "zoomed in"). I think what has happened is that, by adding a plot requiring an exponent to capture the scale of the Y values (x10^6), the actual height of each plot has also shrunk to to accomodate an exponent. The fix is to find a way to plot the data without adding the exponent for the larger scale variables.
One approach may be to divide by whatever the explonent is.
nexttile
y1 = randn(1,2841)*1e6;
% find exponent automatically and divide y1 by it when plotting
x10=floor(log10(max(y1)))
plot(x,y1/10^x10,'LineWidth',2,'Color','b')
I wonder if stackedplot might be a better option for you. You'd have to modify your code a little, and wouldn't be able to color each line (at least not easily), but it does a better job keeping the y-axes as tall as possible.
figure;
chans = 16;
for subplotN=1:chans-3 %plot first set of time-series
    x = 1:2841;
    y(:,subplotN) = randn(2841,1)*50;
end
y(:,subplotN+1) = randn(1,2841)*1e6;
stackedplot(x,y)
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