how to generate different curves(data) from one?

15 Nov 2023
1 Answer
Answer Accepted
Updated 20 Nov 2023
12 Views (30 days)

0 votes

I have written this code but i need them to be different not this close
...like this pic....
inputData = [
0.001 0.1;
0.003 0.1;
0.006 0.1;
0.1 0.09;
0.3 0.08;
0.5 0.07;
5 0.01;
7 0.005;
8 0.001;
10 0.0001
];
numSets = 10; % Number of sets to generate
% Initialize an empty matrix to store the generated data
outputData = zeros(size(inputData, 1), 2, numSets);
for i = 1:numSets
% Generate similar data with increasing amplitude
scalingFactor = i * 0.1;
generatedData = scalingFactor * inputData(:, 1);
sigma = inputData(:, 2);
% Store the generated data in the output matrix
outputData(:,:,i) = [generatedData,sigma];
end
% Display the generated data for each set
for i = 1:numSets
disp(['Generated Data Set ', num2str(i)]);
disp(outputData(:,:,i));
figure(i)
plot(outputData(:,1,i), outputData(:,2,i))
end

Sign in to answer this question.

 Accepted Answer

Mathieu NOE
Mathieu NOE on 15 Nov 2023
Ran in:

0 votes

Ran in:
hello
I used the equations as they appears in the attached image . I thought that would be better rather than trying to derive curves from a master (curve) but that's personnal point of view (I admit)
so , my suggestion (and only one for loop + other corrections)
numSets = 10; % Number of sets to generate
% generatedData = A*exp(-B*sigma);
N = 100; % x data points for each curve
sigma = logspace(-3,1,N)';
A = (2+linspace(0,5,numSets));
B = logspace(3,6,numSets)/1e5;
% Initialize an empty matrix to store the generated data
outputData = zeros(N, 2, numSets);
figure(1)
hold on
for i = 1:numSets
% Generate similar data with increasing amplitude
generatedData = A(i)*exp(-B(i)*sigma);
% Store the generated data in the output matrix
outputData(:,:,i) = [sigma,generatedData];
% Display the generated data for each set
loglog(sigma, generatedData)
disp(['Generated Data Set ', num2str(i)]);
disp(outputData(:,:,i));
plot(outputData(:,1,i), outputData(:,2,i))
end
Generated Data Set 1
0.0010 2.0000 0.0011 2.0000 0.0012 2.0000 0.0013 2.0000 0.0015 2.0000 0.0016 2.0000 0.0017 2.0000 0.0019 2.0000 0.0021 2.0000 0.0023 2.0000 0.0025 1.9999 0.0028 1.9999 0.0031 1.9999 0.0034 1.9999 0.0037 1.9999 0.0040 1.9999 0.0044 1.9999 0.0049 1.9999 0.0053 1.9999 0.0059 1.9999 0.0064 1.9999 0.0071 1.9999 0.0077 1.9998 0.0085 1.9998 0.0093 1.9998 0.0102 1.9998 0.0112 1.9998 0.0123 1.9998 0.0135 1.9997 0.0148 1.9997 0.0163 1.9997 0.0179 1.9996 0.0196 1.9996 0.0215 1.9996 0.0236 1.9995 0.0260 1.9995 0.0285 1.9994 0.0313 1.9994 0.0343 1.9993 0.0376 1.9992 0.0413 1.9992 0.0453 1.9991 0.0498 1.9990 0.0546 1.9989 0.0599 1.9988 0.0658 1.9987 0.0722 1.9986 0.0792 1.9984 0.0870 1.9983 0.0955 1.9981 0.1048 1.9979 0.1150 1.9977 0.1262 1.9975 0.1385 1.9972 0.1520 1.9970 0.1668 1.9967 0.1831 1.9963 0.2009 1.9960 0.2205 1.9956 0.2420 1.9952 0.2656 1.9947 0.2915 1.9942 0.3199 1.9936 0.3511 1.9930 0.3854 1.9923 0.4229 1.9916 0.4642 1.9907 0.5094 1.9898 0.5591 1.9888 0.6136 1.9878 0.6734 1.9866 0.7391 1.9853 0.8111 1.9838 0.8902 1.9823 0.9770 1.9806 1.0723 1.9787 1.1768 1.9766 1.2915 1.9743 1.4175 1.9719 1.5557 1.9691 1.7074 1.9661 1.8738 1.9629 2.0565 1.9593 2.2570 1.9554 2.4771 1.9511 2.7186 1.9464 2.9836 1.9412 3.2745 1.9356 3.5938 1.9294 3.9442 1.9227 4.3288 1.9153 4.7508 1.9072 5.2140 1.8984 5.7224 1.8888 6.2803 1.8783 6.8926 1.8668 7.5646 1.8543 8.3022 1.8407 9.1116 1.8258 10.0000 1.8097
Generated Data Set 2
0.0010 2.5555 0.0011 2.5555 0.0012 2.5555 0.0013 2.5555 0.0015 2.5555 0.0016 2.5555 0.0017 2.5555 0.0019 2.5554 0.0021 2.5554 0.0023 2.5554 0.0025 2.5554 0.0028 2.5554 0.0031 2.5554 0.0034 2.5554 0.0037 2.5554 0.0040 2.5553 0.0044 2.5553 0.0049 2.5553 0.0053 2.5553 0.0059 2.5552 0.0064 2.5552 0.0071 2.5552 0.0077 2.5551 0.0085 2.5551 0.0093 2.5550 0.0102 2.5550 0.0112 2.5549 0.0123 2.5549 0.0135 2.5548 0.0148 2.5547 0.0163 2.5547 0.0179 2.5546 0.0196 2.5545 0.0215 2.5544 0.0236 2.5543 0.0260 2.5541 0.0285 2.5540 0.0313 2.5538 0.0343 2.5537 0.0376 2.5535 0.0413 2.5533 0.0453 2.5531 0.0498 2.5528 0.0546 2.5525 0.0599 2.5523 0.0658 2.5519 0.0722 2.5516 0.0792 2.5512 0.0870 2.5508 0.0955 2.5503 0.1048 2.5498 0.1150 2.5492 0.1262 2.5486 0.1385 2.5479 0.1520 2.5472 0.1668 2.5464 0.1831 2.5455 0.2009 2.5445 0.2205 2.5434 0.2420 2.5423 0.2656 2.5410 0.2915 2.5396 0.3199 2.5380 0.3511 2.5363 0.3854 2.5344 0.4229 2.5324 0.4642 2.5301 0.5094 2.5277 0.5591 2.5250 0.6136 2.5220 0.6734 2.5187 0.7391 2.5152 0.8111 2.5113 0.8902 2.5070 0.9770 2.5023 1.0723 2.4972 1.1768 2.4916 1.2915 2.4854 1.4175 2.4787 1.5557 2.4713 1.7074 2.4633 1.8738 2.4544 2.0565 2.4448 2.2570 2.4343 2.4771 2.4227 2.7186 2.4102 2.9836 2.3965 3.2745 2.3815 3.5938 2.3652 3.9442 2.3474 4.3288 2.3280 4.7508 2.3069 5.2140 2.2840 5.7224 2.2591 6.2803 2.2321 6.8926 2.2029 7.5646 2.1712 8.3022 2.1370 9.1116 2.1001 10.0000 2.0602
Generated Data Set 3
0.0010 3.1110 0.0011 3.1110 0.0012 3.1109 0.0013 3.1109 0.0015 3.1109 0.0016 3.1109 0.0017 3.1109 0.0019 3.1108 0.0021 3.1108 0.0023 3.1108 0.0025 3.1107 0.0028 3.1107 0.0031 3.1107 0.0034 3.1106 0.0037 3.1106 0.0040 3.1105 0.0044 3.1105 0.0049 3.1104 0.0053 3.1103 0.0059 3.1103 0.0064 3.1102 0.0071 3.1101 0.0077 3.1100 0.0085 3.1099 0.0093 3.1098 0.0102 3.1096 0.0112 3.1095 0.0123 3.1093 0.0135 3.1092 0.0148 3.1090 0.0163 3.1088 0.0179 3.1085 0.0196 3.1083 0.0215 3.1080 0.0236 3.1077 0.0260 3.1074 0.0285 3.1070 0.0313 3.1066 0.0343 3.1062 0.0376 3.1057 0.0413 3.1051 0.0453 3.1046 0.0498 3.1039 0.0546 3.1032 0.0599 3.1025 0.0658 3.1016 0.0722 3.1007 0.0792 3.0997 0.0870 3.0986 0.0955 3.0974 0.1048 3.0960 0.1150 3.0946 0.1262 3.0929 0.1385 3.0912 0.1520 3.0892 0.1668 3.0871 0.1831 3.0848 0.2009 3.0822 0.2205 3.0794 0.2420 3.0764 0.2656 3.0730 0.2915 3.0693 0.3199 3.0653 0.3511 3.0608 0.3854 3.0560 0.4229 3.0506 0.4642 3.0448 0.5094 3.0384 0.5591 3.0314 0.6136 3.0238 0.6734 3.0154 0.7391 3.0062 0.8111 2.9962 0.8902 2.9852 0.9770 2.9732 1.0723 2.9601 1.1768 2.9457 1.2915 2.9301 1.4175 2.9130 1.5557 2.8944 1.7074 2.8741 1.8738 2.8520 2.0565 2.8279 2.2570 2.8017 2.4771 2.7732 2.7186 2.7423 2.9836 2.7088 3.2745 2.6724 3.5938 2.6331 3.9442 2.5906 4.3288 2.5448 4.7508 2.4954 5.2140 2.4424 5.7224 2.3854 6.2803 2.3244 6.8926 2.2593 7.5646 2.1899 8.3022 2.1162 9.1116 2.0382 10.0000 1.9558
Generated Data Set 4
0.0010 3.6663 0.0011 3.6663 0.0012 3.6662 0.0013 3.6662 0.0015 3.6661 0.0016 3.6661 0.0017 3.6660 0.0019 3.6660 0.0021 3.6659 0.0023 3.6658 0.0025 3.6657 0.0028 3.6656 0.0031 3.6655 0.0034 3.6654 0.0037 3.6653 0.0040 3.6652 0.0044 3.6650 0.0049 3.6649 0.0053 3.6647 0.0059 3.6645 0.0064 3.6643 0.0071 3.6641 0.0077 3.6638 0.0085 3.6636 0.0093 3.6632 0.0102 3.6629 0.0112 3.6626 0.0123 3.6621 0.0135 3.6617 0.0148 3.6612 0.0163 3.6607 0.0179 3.6601 0.0196 3.6595 0.0215 3.6588 0.0236 3.6580 0.0260 3.6572 0.0285 3.6562 0.0313 3.6552 0.0343 3.6541 0.0376 3.6529 0.0413 3.6515 0.0453 3.6501 0.0498 3.6485 0.0546 3.6467 0.0599 3.6448 0.0658 3.6426 0.0722 3.6403 0.0792 3.6377 0.0870 3.6349 0.0955 3.6318 0.1048 3.6285 0.1150 3.6248 0.1262 3.6207 0.1385 3.6162 0.1520 3.6114 0.1668 3.6060 0.1831 3.6002 0.2009 3.5937 0.2205 3.5867 0.2420 3.5790 0.2656 3.5706 0.2915 3.5613 0.3199 3.5512 0.3511 3.5402 0.3854 3.5281 0.4229 3.5148 0.4642 3.5004 0.5094 3.4846 0.5591 3.4673 0.6136 3.4484 0.6734 3.4279 0.7391 3.4054 0.8111 3.3810 0.8902 3.3544 0.9770 3.3254 1.0723 3.2938 1.1768 3.2596 1.2915 3.2224 1.4175 3.1821 1.5557 3.1384 1.7074 3.0912 1.8738 3.0401 2.0565 2.9851 2.2570 2.9258 2.4771 2.8622 2.7186 2.7939 2.9836 2.7208 3.2745 2.6428 3.5938 2.5597 3.9442 2.4716 4.3288 2.3783 4.7508 2.2801 5.2140 2.1769 5.7224 2.0690 6.2803 1.9567 6.8926 1.8405 7.5646 1.7209 8.3022 1.5985 9.1116 1.4742 10.0000 1.3489
Generated Data Set 5
0.0010 4.2213 0.0011 4.2212 0.0012 4.2211 0.0013 4.2210 0.0015 4.2209 0.0016 4.2208 0.0017 4.2206 0.0019 4.2205 0.0021 4.2203 0.0023 4.2201 0.0025 4.2199 0.0028 4.2197 0.0031 4.2194 0.0034 4.2192 0.0037 4.2189 0.0040 4.2186 0.0044 4.2182 0.0049 4.2178 0.0053 4.2174 0.0059 4.2169 0.0064 4.2164 0.0071 4.2158 0.0077 4.2152 0.0085 4.2145 0.0093 4.2137 0.0102 4.2129 0.0112 4.2120 0.0123 4.2110 0.0135 4.2099 0.0148 4.2087 0.0163 4.2074 0.0179 4.2060 0.0196 4.2044 0.0215 4.2027 0.0236 4.2008 0.0260 4.1987 0.0285 4.1964 0.0313 4.1939 0.0343 4.1911 0.0376 4.1881 0.0413 4.1848 0.0453 4.1812 0.0498 4.1772 0.0546 4.1728 0.0599 4.1680 0.0658 4.1628 0.0722 4.1570 0.0792 4.1507 0.0870 4.1438 0.0955 4.1363 0.1048 4.1280 0.1150 4.1189 0.1262 4.1090 0.1385 4.0981 0.1520 4.0862 0.1668 4.0732 0.1831 4.0589 0.2009 4.0434 0.2205 4.0263 0.2420 4.0077 0.2656 3.9874 0.2915 3.9652 0.3199 3.9410 0.3511 3.9146 0.3854 3.8858 0.4229 3.8545 0.4642 3.8204 0.5094 3.7834 0.5591 3.7431 0.6136 3.6994 0.6734 3.6520 0.7391 3.6007 0.8111 3.5453 0.8902 3.4854 0.9770 3.4208 1.0723 3.3513 1.1768 3.2767 1.2915 3.1967 1.4175 3.1111 1.5557 3.0198 1.7074 2.9227 1.8738 2.8198 2.0565 2.7110 2.2570 2.5963 2.4771 2.4761 2.7186 2.3506 2.9836 2.2201 3.2745 2.0852 3.5938 1.9466 3.9442 1.8051 4.3288 1.6616 4.7508 1.5171 5.2140 1.3731 5.7224 1.2306 6.2803 1.0912 6.8926 0.9564 7.5646 0.8275 8.3022 0.7059 9.1116 0.5929 10.0000 0.4896
Generated Data Set 6
0.0010 4.7756 0.0011 4.7753 0.0012 4.7751 0.0013 4.7748 0.0015 4.7746 0.0016 4.7742 0.0017 4.7739 0.0019 4.7735 0.0021 4.7731 0.0023 4.7727 0.0025 4.7722 0.0028 4.7716 0.0031 4.7710 0.0034 4.7704 0.0037 4.7696 0.0040 4.7688 0.0044 4.7680 0.0049 4.7670 0.0053 4.7660 0.0059 4.7648 0.0064 4.7635 0.0071 4.7622 0.0077 4.7606 0.0085 4.7590 0.0093 4.7571 0.0102 4.7551 0.0112 4.7529 0.0123 4.7505 0.0135 4.7479 0.0148 4.7450 0.0163 4.7418 0.0179 4.7383 0.0196 4.7344 0.0215 4.7302 0.0236 4.7256 0.0260 4.7206 0.0285 4.7150 0.0313 4.7090 0.0343 4.7023 0.0376 4.6950 0.0413 4.6870 0.0453 4.6783 0.0498 4.6687 0.0546 4.6582 0.0599 4.6467 0.0658 4.6341 0.0722 4.6203 0.0792 4.6052 0.0870 4.5887 0.0955 4.5707 0.1048 4.5510 0.1150 4.5295 0.1262 4.5060 0.1385 4.4803 0.1520 4.4523 0.1668 4.4218 0.1831 4.3886 0.2009 4.3523 0.2205 4.3130 0.2420 4.2701 0.2656 4.2236 0.2915 4.1731 0.3199 4.1185 0.3511 4.0593 0.3854 3.9953 0.4229 3.9262 0.4642 3.8518 0.5094 3.7717 0.5591 3.6857 0.6136 3.5937 0.6734 3.4952 0.7391 3.3903 0.8111 3.2788 0.8902 3.1606 0.9770 3.0358 1.0723 2.9045 1.1768 2.7670 1.2915 2.6235 1.4175 2.4745 1.5557 2.3208 1.7074 2.1630 1.8738 2.0022 2.0565 1.8394 2.2570 1.6759 2.4771 1.5132 2.7186 1.3527 2.9836 1.1961 3.2745 1.0450 3.5938 0.9011 3.9442 0.7659 4.3288 0.6407 4.7508 0.5267 5.2140 0.4248 5.7224 0.3355 6.2803 0.2590 6.8926 0.1949 7.5646 0.1427 8.3022 0.1013 9.1116 0.0696 10.0000 0.0461
Generated Data Set 7
0.0010 5.3280 0.0011 5.3275 0.0012 5.3269 0.0013 5.3263 0.0015 5.3256 0.0016 5.3248 0.0017 5.3240 0.0019 5.3231 0.0021 5.3221 0.0023 5.3210 0.0025 5.3198 0.0028 5.3185 0.0031 5.3171 0.0034 5.3155 0.0037 5.3138 0.0040 5.3118 0.0044 5.3098 0.0049 5.3075 0.0053 5.3049 0.0059 5.3022 0.0064 5.2992 0.0071 5.2958 0.0077 5.2922 0.0085 5.2882 0.0093 5.2838 0.0102 5.2790 0.0112 5.2738 0.0123 5.2680 0.0135 5.2617 0.0148 5.2547 0.0163 5.2471 0.0179 5.2388 0.0196 5.2297 0.0215 5.2197 0.0236 5.2087 0.0260 5.1967 0.0285 5.1836 0.0313 5.1692 0.0343 5.1535 0.0376 5.1363 0.0413 5.1175 0.0453 5.0969 0.0498 5.0744 0.0546 5.0498 0.0599 5.0230 0.0658 4.9937 0.0722 4.9618 0.0792 4.9270 0.0870 4.8891 0.0955 4.8478 0.1048 4.8029 0.1150 4.7541 0.1262 4.7011 0.1385 4.6436 0.1520 4.5813 0.1668 4.5139 0.1831 4.4411 0.2009 4.3625 0.2205 4.2779 0.2420 4.1869 0.2656 4.0893 0.2915 3.9847 0.3199 3.8731 0.3511 3.7541 0.3854 3.6278 0.4229 3.4940 0.4642 3.3529 0.5094 3.2045 0.5591 3.0492 0.6136 2.8875 0.6734 2.7198 0.7391 2.5470 0.8111 2.3699 0.8902 2.1897 0.9770 2.0077 1.0723 1.8252 1.1768 1.6441 1.2915 1.4658 1.4175 1.2924 1.5557 1.1256 1.7074 0.9672 1.8738 0.8189 2.0565 0.6821 2.2570 0.5582 2.4771 0.4479 2.7186 0.3518 2.9836 0.2699 3.2745 0.2018 3.5938 0.1466 3.9442 0.1033 4.3288 0.0703 4.7508 0.0461 5.2140 0.0290 5.7224 0.0175 6.2803 0.0100 6.8926 0.0054 7.5646 0.0028 8.3022 0.0013 9.1116 0.0006 10.0000 0.0002
Generated Data Set 8
0.0010 5.8762 0.0011 5.8750 0.0012 5.8736 0.0013 5.8721 0.0015 5.8705 0.0016 5.8687 0.0017 5.8668 0.0019 5.8646 0.0021 5.8622 0.0023 5.8597 0.0025 5.8568 0.0028 5.8537 0.0031 5.8503 0.0034 5.8465 0.0037 5.8424 0.0040 5.8379 0.0044 5.8329 0.0049 5.8275 0.0053 5.8216 0.0059 5.8150 0.0064 5.8079 0.0071 5.8001 0.0077 5.7915 0.0085 5.7821 0.0093 5.7717 0.0102 5.7605 0.0112 5.7481 0.0123 5.7345 0.0135 5.7197 0.0148 5.7035 0.0163 5.6857 0.0179 5.6663 0.0196 5.6450 0.0215 5.6218 0.0236 5.5964 0.0260 5.5687 0.0285 5.5384 0.0313 5.5054 0.0343 5.4694 0.0376 5.4301 0.0413 5.3873 0.0453 5.3408 0.0498 5.2901 0.0546 5.2351 0.0599 5.1754 0.0658 5.1106 0.0722 5.0405 0.0792 4.9646 0.0870 4.8826 0.0955 4.7942 0.1048 4.6991 0.1150 4.5968 0.1262 4.4871 0.1385 4.3697 0.1520 4.2445 0.1668 4.1111 0.1831 3.9695 0.2009 3.8198 0.2205 3.6619 0.2420 3.4962 0.2656 3.3229 0.2915 3.1426 0.3199 2.9559 0.3511 2.7638 0.3854 2.5673 0.4229 2.3677 0.4642 2.1664 0.5094 1.9651 0.5591 1.7657 0.6136 1.5701 0.6734 1.3802 0.7391 1.1982 0.8111 1.0259 0.8902 0.8652 0.9770 0.7176 1.0723 0.5845 1.1768 0.4666 1.2915 0.3644 1.4175 0.2778 1.5557 0.2063 1.7074 0.1488 1.8738 0.1039 2.0565 0.0701 2.2570 0.0455 2.4771 0.0283 2.7186 0.0168 2.9836 0.0095 3.2745 0.0051 3.5938 0.0026 3.9442 0.0012 4.3288 0.0005 4.7508 0.0002 5.2140 0.0001 5.7224 0.0000 6.2803 0.0000 6.8926 0.0000 7.5646 0.0000 8.3022 0.0000 9.1116 0.0000 10.0000 0.0000
Generated Data Set 9
0.0010 6.4146 0.0011 6.4117 0.0012 6.4085 0.0013 6.4050 0.0015 6.4012 0.0016 6.3970 0.0017 6.3924 0.0019 6.3873 0.0021 6.3818 0.0023 6.3757 0.0025 6.3690 0.0028 6.3617 0.0031 6.3537 0.0034 6.3450 0.0037 6.3353 0.0040 6.3248 0.0044 6.3133 0.0049 6.3006 0.0053 6.2868 0.0059 6.2716 0.0064 6.2550 0.0071 6.2368 0.0077 6.2170 0.0085 6.1952 0.0093 6.1714 0.0102 6.1454 0.0112 6.1170 0.0123 6.0860 0.0135 6.0522 0.0148 6.0152 0.0163 5.9749 0.0179 5.9310 0.0196 5.8832 0.0215 5.8312 0.0236 5.7746 0.0260 5.7131 0.0285 5.6464 0.0313 5.5741 0.0343 5.4958 0.0376 5.4112 0.0413 5.3198 0.0453 5.2212 0.0498 5.1151 0.0546 5.0012 0.0599 4.8791 0.0658 4.7485 0.0722 4.6092 0.0792 4.4610 0.0870 4.3039 0.0955 4.1378 0.1048 3.9628 0.1150 3.7793 0.1262 3.5877 0.1385 3.3886 0.1520 3.1827 0.1668 2.9712 0.1831 2.7551 0.2009 2.5361 0.2205 2.3156 0.2420 2.0957 0.2656 1.8783 0.2915 1.6656 0.3199 1.4597 0.3511 1.2630 0.3854 1.0774 0.4229 0.9050 0.4642 0.7474 0.5094 0.6058 0.5591 0.4810 0.6136 0.3735 0.6734 0.2829 0.7391 0.2086 0.8111 0.1493 0.8902 0.1034 0.9770 0.0691 1.0723 0.0444 1.1768 0.0273 1.2915 0.0161 1.4175 0.0089 1.5557 0.0047 1.7074 0.0023 1.8738 0.0011 2.0565 0.0005 2.2570 0.0002 2.4771 0.0001 2.7186 0.0000 2.9836 0.0000 3.2745 0.0000 3.5938 0.0000 3.9442 0.0000 4.3288 0.0000 4.7508 0.0000 5.2140 0.0000 5.7224 0.0000 6.2803 0.0000 6.8926 0.0000 7.5646 0.0000 8.3022 0.0000 9.1116 0.0000 10.0000 0.0000
Generated Data Set 10
0.0010 6.9303 0.0011 6.9236 0.0012 6.9162 0.0013 6.9081 0.0015 6.8992 0.0016 6.8894 0.0017 6.8787 0.0019 6.8670 0.0021 6.8542 0.0023 6.8401 0.0025 6.8248 0.0028 6.8079 0.0031 6.7895 0.0034 6.7693 0.0037 6.7472 0.0040 6.7230 0.0044 6.6966 0.0049 6.6678 0.0053 6.6362 0.0059 6.6018 0.0064 6.5642 0.0071 6.5232 0.0077 6.4785 0.0085 6.4297 0.0093 6.3767 0.0102 6.3190 0.0112 6.2562 0.0123 6.1881 0.0135 6.1141 0.0148 6.0340 0.0163 5.9473 0.0179 5.8535 0.0196 5.7523 0.0215 5.6433 0.0236 5.5260 0.0260 5.4000 0.0285 5.2651 0.0313 5.1209 0.0343 4.9672 0.0376 4.8038 0.0413 4.6307 0.0453 4.4479 0.0498 4.2555 0.0546 4.0539 0.0599 3.8437 0.0658 3.6254 0.0722 3.4002 0.0792 3.1690 0.0870 2.9334 0.0955 2.6949 0.1048 2.4554 0.1150 2.2170 0.1262 1.9819 0.1385 1.7525 0.1520 1.5311 0.1668 1.3202 0.1831 1.1221 0.2009 0.9386 0.2205 0.7717 0.2420 0.6224 0.2656 0.4916 0.2915 0.3794 0.3199 0.2855 0.3511 0.2090 0.3854 0.1484 0.4229 0.1019 0.4642 0.0675 0.5094 0.0429 0.5591 0.0261 0.6136 0.0151 0.6734 0.0083 0.7391 0.0043 0.8111 0.0021 0.8902 0.0010 0.9770 0.0004 1.0723 0.0002 1.1768 0.0001 1.2915 0.0000 1.4175 0.0000 1.5557 0.0000 1.7074 0.0000 1.8738 0.0000 2.0565 0.0000 2.2570 0.0000 2.4771 0.0000 2.7186 0.0000 2.9836 0.0000 3.2745 0.0000 3.5938 0.0000 3.9442 0.0000 4.3288 0.0000 4.7508 0.0000 5.2140 0.0000 5.7224 0.0000 6.2803 0.0000 6.8926 0.0000 7.5646 0.0000 8.3022 0.0000 9.1116 0.0000 10.0000 0.0000
set(gca,'XScale', 'log', 'YScale', 'log')
ylim([1e-2 10]);

4 Comments
Show 2 older comments Hide 2 older comments

arian hoseini
arian hoseini on 15 Nov 2023
i dont understad why u changed the input?
inputData = [
0.001 0.1;
0.003 0.1;
0.006 0.1;
0.1 0.09;
0.3 0.08;
0.5 0.07;
5 0.01;
7 0.005;
8 0.001;
10 0.0001
];
let me give u an example:
inputData = [
0.003 0.2;
0.005 0.2;
0.007 0.3;
0.2 0.05;
0.4 0.06;
0.6 0.09;
8 0.04;
9 0.008;
10 0.005;
12 0.0005
];
i want them to e different like this but the variation shouldnt be so high but enough to see them on plot(something like ur plot or the first one i added on question)
Mathieu NOE
Mathieu NOE on 15 Nov 2023
I understand what you mean but I wanted to show you a manner to change both x and y data as your request in a (IMHO) better way - as your image shows the general exponential equation and parmeters to use
so this is the way I opted for as you can get much nicer results

Sign in to comment.

More Answers (0)

Categories

Find more on Logical in Help Center and File Exchange

Products

Release

R2016b

Tags

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!