Show minor changes in numbers

Hello
Can someone help me with this code
I want all changes between each variable
to appear not on one line Is there a solution in the code? or even in properties of the figure?
clc
clear
close all;
T=[36.1372, 448.2709, 604.4290, 609.5042, 611.0202, 612.1450, 612.2992, 612.7632, 613.5447, 613.4673, 614.2219, 613.9967, 614.2976, 613.8676, 614.1823, 614.5736];
S=[27.7774, 31.1058, 35.6129, 45.5727, 366.2270, 599.8439, 611.3228, 614.6429, 614.7070, 615.1051, 616.4094, 616.5185, 617.0064, 616.8854, 617.5152, 617.2996];
X=[27.2861, 29.5792, 32.1488, 34.4917, 38.2366, 43.1211, 55.4350, 293.9357, 601.7387, 612.5882, 618.4006, 620.7390, 619.7454, 619.0197, 620.6559, 621.5188];
Z=[27.0137, 29.1379, 32.0862, 34.2656, 36.0955, 39.0952, 42.6568, 46.9772, 53.4866, 70.5881, 331.0303, 613.1030, 623.2177, 625.8538, 627.7745, 630.0455];
u=1300000:100000:2800000;
ax= subplot(1,1,1);
plot(u(1:16),T(1:16),'-o b', 'LineWidth',1.5,'MarkerSize',6)
hold on
plot(u(1:16),S(1:16),'-.* r','LineWidth',1.5,'MarkerSize',6)
plot(u(1:16),X(1:16),'-+ m','LineWidth',1.5,'MarkerSize',6)
plot(u(1:16),Z(1:16),'-.s g','LineWidth',1.5,'MarkerSize',6)
grid on
legend('vr=14','vr=17','vr=20','vr=23')
xlabel('Messages arrival rate(Messages/s)')
ylabel('Mean number of requests(Messages)')

3 Comments

What do you mean by changes? What exactly do you want to see, as your question is quite confusing.
Certainly it is trivial to compute the differnce between two variables. Just plot that, if that is what you want to see.
What do you mean by something in the properties of the figure? When is a change minor? Explain your question. Show what you WANT to see computed, as an example.
The intent of my question is if you see the difference between the variables, for example, when we reach 2.3m, the change is simple and does not appear clearly in the drawing, it appears as if it is the same data
I want even the simple change of the 4 variables shown so I can find the difference between them
@Nourah, when I saw your question and your plot I thought I was having daja vu. You asked this same question (and a very similar plot) twice last June.
Looks like you got lots of helpful and duplicate advice. @Walter Roberson's answer below differs from the answers in your previous threads - I hope this is will be solution you are looking for.

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Answers (1)

T=[36.1372, 448.2709, 604.4290, 609.5042, 611.0202, 612.1450, 612.2992, 612.7632, 613.5447, 613.4673, 614.2219, 613.9967, 614.2976, 613.8676, 614.1823, 614.5736];
S=[27.7774, 31.1058, 35.6129, 45.5727, 366.2270, 599.8439, 611.3228, 614.6429, 614.7070, 615.1051, 616.4094, 616.5185, 617.0064, 616.8854, 617.5152, 617.2996];
X=[27.2861, 29.5792, 32.1488, 34.4917, 38.2366, 43.1211, 55.4350, 293.9357, 601.7387, 612.5882, 618.4006, 620.7390, 619.7454, 619.0197, 620.6559, 621.5188];
Z=[27.0137, 29.1379, 32.0862, 34.2656, 36.0955, 39.0952, 42.6568, 46.9772, 53.4866, 70.5881, 331.0303, 613.1030, 623.2177, 625.8538, 627.7745, 630.0455];
u=1300000:100000:2800000;
u16 = u(1:16);
T16 = T(1:16);
S16 = S(1:16);
X16 = X(1:16);
Z16 = Z(1:16);
vars = {T16, S16, X16, Z16};
varnames = ["T", "S", "X", "Z"];
numvars = length(vars);
tiledlayout('flow');
for idx1 = 1 : numvars-1
for idx2 = idx1+1 : numvars
nexttile()
plot(u16, vars{idx1}-vars{idx2});
title(varnames(idx1) + " minus " + varnames(idx2));
end
end
With the differences being up to 500, if you had a need to see even small differences, then you would need to plot each of those as an entire figure so that you could get maximum magnification.

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Asked:

on 10 Jan 2023

Commented:

on 10 Jan 2023

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