how to compare two graphs having different values on x-axis?

I have two sets like

SINRo=[3.16455696202532 4.74683544303798 6.32911392405063 7.91139240506329 9.49367088607595 11.0759493670886 12.6582278481013 14.2405063291139 15.8227848101266 17.4050632911392 18.9873417721519 20.5696202531646 22.1518987341772 23.7341772151899 25.3164556962025 26.8987341772152 28.4810126582278 30.0632911392405 31.6455696202532]

BERo=[0.00593858219443245 0.00103090943726315 0.000186958235751604 3.47799042686922e-05 6.57942637416831e-06 1.25953352221493e-06 2.43270098650139e-07 4.73109453014439e-08 9.25181229640331e-09 1.81738969741591e-09 3.58342922495624e-10 7.08807422645925e-11 1.40585132440117e-11 2.79495469346670e-12 5.56809307580009e-13 1.11129464517693e-13 2.22154555075486e-14 4.44744502578834e-15 8.91522895859371e-16]

semilogy(SINRo, BERo, 'green')

and 2nd set

SINR=[1.68286918010400 1.70143046563433 1.72214758561361 1.74541956953215 1.77175048324529 1.80178645839125 1.83636959314033 1.87661844127445 1.92405178613187 1.98078558250780 2.04985916339183 2.13580215490112 2.24567920343178 2.39116168757851 2.59304429421746 2.89243885339408 3.38419129859504 4.35229343567443 7.35760686444023]

BER=[0.0430299901671800 0.0426953195435822 0.0423234293968646 0.0419077600255308 0.0414401186567641 0.0409101394647823 0.0403045152395113 0.0396058802708295 0.0387911461989609 0.0378289540298949 0.0366756497062147 0.0352686994150433 0.0335154784077252 0.0312733285662269 0.0283124876629703 0.0242452307540428 0.0184002036036845 0.00979380677850566 0.000484978579323264]

semilogy(SINR, BER, 'green')

i want to compare their results, i mean they should be on same window like a file i hav attached

Answer 1

[Mark Sherstan]

Add a "hold on" statment which basically will make the two plots combined. I have modified your code below:

clear all
close all

SINRo=[3.16455696202532	4.74683544303798	6.32911392405063	7.91139240506329	9.49367088607595	11.0759493670886	12.6582278481013	14.2405063291139	15.8227848101266	17.4050632911392	18.9873417721519	20.5696202531646	22.1518987341772	23.7341772151899	25.3164556962025	26.8987341772152	28.4810126582278	30.0632911392405	31.6455696202532]
BERo=[0.00593858219443245	0.00103090943726315	0.000186958235751604	3.47799042686922e-05	6.57942637416831e-06	1.25953352221493e-06	2.43270098650139e-07	4.73109453014439e-08	9.25181229640331e-09	1.81738969741591e-09	3.58342922495624e-10	7.08807422645925e-11	1.40585132440117e-11	2.79495469346670e-12	5.56809307580009e-13	1.11129464517693e-13	2.22154555075486e-14	4.44744502578834e-15	8.91522895859371e-16]

SINR=[1.68286918010400	1.70143046563433	1.72214758561361	1.74541956953215	1.77175048324529	1.80178645839125	1.83636959314033	1.87661844127445	1.92405178613187	1.98078558250780	2.04985916339183	2.13580215490112	2.24567920343178	2.39116168757851	2.59304429421746	2.89243885339408	3.38419129859504	4.35229343567443	7.35760686444023]
BER=[0.0430299901671800	0.0426953195435822	0.0423234293968646	0.0419077600255308	0.0414401186567641	0.0409101394647823	0.0403045152395113	0.0396058802708295	0.0387911461989609	0.0378289540298949	0.0366756497062147	0.0352686994150433	0.0335154784077252	0.0312733285662269	0.0283124876629703	0.0242452307540428	0.0184002036036845	0.00979380677850566	0.000484978579323264]

figure(1)
hold on
semilogy(SINRo, BERo, 'green')
semilogy(SINR, BER, 'green')
hold off

[Sajid Sarwar]

@ Mark Sherstan does not work becoz x-axis are different set of values. this works only when x-axis of both figures has same values.

[Mark Sherstan]

Look at the axes function (https://www.mathworks.com/help/matlab/ref/axes.html) I put together a quick example below with your data. You could also try normalizing your data or resampling it to make it line up. All depends on what your analysis requires.

clear all
close all
SINRo=[3.16455696202532	4.74683544303798	6.32911392405063	7.91139240506329	9.49367088607595	11.0759493670886	12.6582278481013	14.2405063291139	15.8227848101266	17.4050632911392	18.9873417721519	20.5696202531646	22.1518987341772	23.7341772151899	25.3164556962025	26.8987341772152	28.4810126582278	30.0632911392405	31.6455696202532];
BERo=[0.00593858219443245	0.00103090943726315	0.000186958235751604	3.47799042686922e-05	6.57942637416831e-06	1.25953352221493e-06	2.43270098650139e-07	4.73109453014439e-08	9.25181229640331e-09	1.81738969741591e-09	3.58342922495624e-10	7.08807422645925e-11	1.40585132440117e-11	2.79495469346670e-12	5.56809307580009e-13	1.11129464517693e-13	2.22154555075486e-14	4.44744502578834e-15	8.91522895859371e-16];
SINR=[1.68286918010400	1.70143046563433	1.72214758561361	1.74541956953215	1.77175048324529	1.80178645839125	1.83636959314033	1.87661844127445	1.92405178613187	1.98078558250780	2.04985916339183	2.13580215490112	2.24567920343178	2.39116168757851	2.59304429421746	2.89243885339408	3.38419129859504	4.35229343567443	7.35760686444023];
BER=[0.0430299901671800	0.0426953195435822	0.0423234293968646	0.0419077600255308	0.0414401186567641	0.0409101394647823	0.0403045152395113	0.0396058802708295	0.0387911461989609	0.0378289540298949	0.0366756497062147	0.0352686994150433	0.0335154784077252	0.0312733285662269	0.0283124876629703	0.0242452307540428	0.0184002036036845	0.00979380677850566	0.000484978579323264];


figure(1)
semilogy(SINRo, BERo, 'red')

ax1 = gca;
ax1.XColor = 'r';
ax1.YColor = 'r';

ax1_pos = ax1.Position;
ax2 = axes('Position',ax1_pos,...
    'XAxisLocation','top',...
    'YAxisLocation','right',...
    'Color','none');

hold on
semilogy(SINR, BER, 'Parent', ax2, 'Color', 'k')
hold off 

figure(2)
hold on
semilogy(SINRo, BERo, 'green')
semilogy(SINR, BER, 'red')
hold off