Linear Label on Logarithmic Plot

Hello!

I have an "example" regression loglog graph to show someone. The Y axis is not very large, but is less than 1, so it shows up as log rather than linear.

Is there a way to do this cleanly? Here's the code:

% reggie
rng('shuffle');
Intercept   = 1000;
Slope       = -1.6;
dist        = 150:50:300;
vib         = Intercept*(dist.^Slope);
minx        = 50;
maxx        = 400;

figure
loglog(dist,vib,'o','MarkerFaceColor','r')
xlim([minx maxx])
ylim([0.05 1])
hold on
grid on
grid minor
loglog([minx maxx],[Intercept*(minx^Slope) Intercept*(maxx^Slope)],'--');
xlabel('Distance (ft)');
ylabel('Vibration (in/s)');
title('Regression Example');

for n = 1:length(dist)
  scatterling   = 0.3 * vib(n);
  median_value  = vib(n);
  new_values    = scatterling.*randn(6,1)+median_value;
  loglog(dist(n),new_values,'diamond','LineStyle','none');
end
newdist = 100;
reduction_factor = 0.65;
newvib = (reduction_factor * Intercept) *(newdist.^Slope);
loglog(newdist,newvib,'o','MarkerFaceColor','b');
scatterling = 0.4 * newvib;
median_value = newvib;
new_values    = scatterling.*randn(6,1)+median_value;
  loglog(newdist,new_values,'diamond','LineStyle','none','MarkerFaceColor','g'); 
  

Thanks!

Doug

[Walter Roberson]

It is not clear what you are asking for??

You do loglog plots. If you do not want to reprogram that to linear, you could

set(gca, 'YScale', 'linear')

[Douglas Anderson]

Thank you Walter.

I would like the scale to be logarithmic, but the label to be linear. For this case, it's basically from 0.05 to 1.0. So there wouldn't be a lot of points, but as it is, I get two labels: 10 superscript -1 and 10 superscript 0.

Thanks!

Doug

Answer 1

[Walter Roberson]

ax = gca;
ax.YAxis.Exponent = 0;

[Douglas Anderson]

This made sense, but didn't work. Here's the results with that code added, both after the initial plot and at the end.

Tried also ax.YTick = [1 10], and that didn't work either.

Thank you, though! Any other thoughts?

[Walter Roberson]

% reggie
rng('shuffle');
Intercept   = 1000;
Slope       = -1.6;
dist        = 150:50:300;
vib         = Intercept*(dist.^Slope);
minx        = 50;
maxx        = 400;

figure
loglog(dist,vib,'o','MarkerFaceColor','r')
xlim([minx maxx])
ylim([0.05 1])
hold on
grid on
grid minor
loglog([minx maxx],[Intercept*(minx^Slope) Intercept*(maxx^Slope)],'--');
xlabel('Distance (ft)');
ylabel('Vibration (in/s)');
title('Regression Example');

for n = 1:length(dist)
  scatterling   = 0.3 * vib(n);
  median_value  = vib(n);
  new_values    = scatterling.*randn(6,1)+median_value;
  loglog(dist(n),new_values,'diamond','LineStyle','none');
end
newdist = 100;
reduction_factor = 0.65;
newvib = (reduction_factor * Intercept) *(newdist.^Slope);
loglog(newdist,newvib,'o','MarkerFaceColor','b');
scatterling = 0.4 * newvib;
median_value = newvib;
new_values    = scatterling.*randn(6,1)+median_value;
  loglog(newdist,new_values,'diamond','LineStyle','none','MarkerFaceColor','g'); 
 
  yticklabels(compose("%g", yticks))