How to display this whole data simultaneously?

When I run the following code, it displays the data in such a way that it shows the 1st 9 columns in one screen and the remaining 3 columns in other screen. I want to display the whole 12 columns in one screen. How can we do that?
clear;clc
s2=rand(100,1);
s3=rand(100,1);
s4=rand(100,1);
s21=rand(100,1);
s31=rand(100,1);
s41=rand(100,1);
s22=rand(100,1);
s32=rand(100,1);
s42=rand(100,1);
s23=rand(100,1);
s33=rand(100,1);
s43=rand(100,1);
format compact
S=[s2 s3 s4 s21 s31 s41 s22 s32 s42 s23 s33 s43]

답변 (1개)

John D'Errico
John D'Errico 2024년 3월 3일
편집: John D'Errico 2024년 3월 3일
What can you do? This will mainly be in your MATLAB settings, first, under the command window tab. Here, you can control how many columns the array will be displayed as. So turn off the item "Set matrix display width to eighty columns".
Next, make the command window font smaller. This is in the fonts tab for settings. I leave mine at 12 or even 14 point. Older eyes need bigger numbers. :) But you can go much smaller, and so fit much more into the window space you do have available.
Next, make your command window as wide as possible. Since I have a 27 inch display, that works nicely, so I can be a display hog. But if you have a small laptop, you have less capability there.
Use a short format for numeric display.
format short
x = rand(1,5)
x = 1×5
0.5277 0.1102 0.5668 0.2737 0.4981
Of course, this limits your ability to read the numbers if they vary by orders of magnitude.
And, finally, you can use a tool like sprintf to display the array, giving less space between numbers. That takes a little more effort on your part of course.
disp(sprintf('%0.4g ',x))
0.5277 0.1102 0.5668 0.2737 0.4981

댓글 수: 7

Thanks a lot for your guiadance. I checked it. The matrix display option is already disabled. However, when I decreased the font size, it worked, but my eye sight is weak, so I cannot see it clearly now. What else can we do?
Further, when I used the command:
disp(sprintf('%0.4g ',S))
it displayed the whole data in a single row which is very confusing and I cannot locate the data of different s.
Here are a couple of other options:
1. Adjust the sprintf format:
disp(sprintf([repmat('%8.5f ',1,size(S,2)) '\n'],S.'))
0.51976 0.92948 0.97020 0.28578 0.16797 0.44005 0.72651 0.93310 0.98214 0.46760 0.34712 0.77589 0.67844 0.77328 0.67818 0.11586 0.95628 0.64363 0.56832 0.82544 0.89757 0.98402 0.57775 0.28754 0.20209 0.57968 0.15683 0.86531 0.59546 0.40877 0.48290 0.37532 0.93490 0.99559 0.91461 0.07340 0.65467 0.83835 0.86303 0.17354 0.65331 0.21480 0.22297 0.82001 0.53721 0.54815 0.78334 0.97966 0.21515 0.72319 0.33473 0.74998 0.77290 0.90372 0.79591 0.67562 0.33738 0.36206 0.50923 0.04739 0.67289 0.37958 0.39829 0.24304 0.89867 0.38513 0.59664 0.64306 0.40112 0.12243 0.26842 0.58025 0.69316 0.22058 0.63952 0.36683 0.81306 0.37355 0.92491 0.99165 0.11399 0.68405 0.60777 0.38919 0.60930 0.73155 0.56990 0.41384 0.38508 0.61097 0.51468 0.88142 0.33101 0.61681 0.28060 0.06258 0.59056 0.00469 0.46285 0.54799 0.02742 0.66278 0.79294 0.76562 0.05851 0.51541 0.48805 0.89330 0.88224 0.96952 0.01644 0.11941 0.54434 0.11740 0.05657 0.56453 0.10954 0.58102 0.47196 0.38528 0.05309 0.32611 0.76959 0.47115 0.50554 0.28165 0.27157 0.82965 0.30565 0.90816 0.30684 0.33535 0.64816 0.24901 0.94003 0.20505 0.98449 0.09186 0.62360 0.81448 0.64734 0.69714 0.04672 0.86238 0.24080 0.96751 0.31897 0.20306 0.98599 0.51588 0.58682 0.15407 0.08382 0.99445 0.71889 0.29971 0.69921 0.01251 0.07109 0.52285 0.77914 0.64141 0.68132 0.16809 0.69005 0.66856 0.62494 0.45954 0.81759 0.77855 0.25702 0.95171 0.33839 0.53078 0.17182 0.66694 0.65162 0.53876 0.38660 0.06284 0.60344 0.87723 0.43369 0.37886 0.97672 0.62990 0.14066 0.77485 0.03721 0.56199 0.71874 0.54873 0.68509 0.66296 0.95235 0.05200 0.39269 0.56848 0.13730 0.74747 0.78891 0.50234 0.99627 0.55012 0.95748 0.11082 0.57223 0.54273 0.25994 0.85041 0.25927 0.24128 0.21875 0.77515 0.23948 0.74300 0.40790 0.98570 0.61499 0.96236 0.45251 0.43008 0.34400 0.12817 0.04597 0.42763 0.64597 0.46241 0.27976 0.08341 0.94955 0.56114 0.28012 0.95119 0.61456 0.74604 0.22744 0.06306 0.80583 0.77900 0.15895 0.81665 0.15929 0.89071 0.08628 0.95619 0.24253 0.53373 0.13802 0.83054 0.84614 0.39440 0.07096 0.80106 0.79061 0.27012 0.16739 0.35456 0.62403 0.84938 0.33219 0.34288 0.33983 0.84164 0.03394 0.02725 0.91135 0.01674 0.83923 0.15701 0.64531 0.72478 0.39573 0.33874 0.39192 0.34106 0.73223 0.56926 0.53996 0.07791 0.96163 0.59858 0.31658 0.99743 0.79728 0.89503 0.17257 0.57043 0.01037 0.26241 0.81955 0.88467 0.10976 0.80435 0.29616 0.39261 0.28695 0.52571 0.51978 0.07213 0.69771 0.86999 0.86110 0.96881 0.00379 0.47720 0.84489 0.85845 0.39883 0.50622 0.55089 0.05582 0.09927 0.67425 0.02080 0.80152 0.42009 0.71188 0.12232 0.26524 0.73468 0.10733 0.19988 0.02453 0.34115 0.94155 0.14886 0.01457 0.15215 0.51826 0.99852 0.10947 0.54864 0.96434 0.92400 0.42615 0.18414 0.53846 0.23121 0.75301 0.16507 0.41477 0.75367 0.59917 0.11024 0.38730 0.70977 0.32818 0.45893 0.28953 0.57584 0.76424 0.47624 0.15641 0.59301 0.04875 0.36349 0.89306 0.64709 0.28787 0.12144 0.60336 0.58500 0.49312 0.84286 0.42424 0.87672 0.28394 0.83506 0.38567 0.39176 0.43735 0.65526 0.10818 0.88831 0.18500 0.29879 0.37519 0.52680 0.66410 0.96015 0.57485 0.15772 0.43809 0.94419 0.84225 0.08804 0.80580 0.66466 0.60401 0.90410 0.11570 0.52905 0.96768 0.35376 0.14276 0.21760 0.74571 0.22402 0.51188 0.12289 0.78412 0.80890 0.95246 0.65317 0.10215 0.96186 0.24212 0.61457 0.69844 0.47712 0.27727 0.21948 0.85617 0.87767 0.44785 0.47806 0.11153 0.13158 0.83819 0.87614 0.66945 0.35764 0.02828 0.63193 0.18811 0.60840 0.79149 0.15815 0.39653 0.60274 0.20003 0.77765 0.50097 0.67011 0.72245 0.48047 0.63661 0.22473 0.76014 0.39464 0.95281 0.65080 0.49169 0.59810 0.49660 0.13344 0.39301 0.61933 0.44707 0.87664 0.84844 0.32277 0.01296 0.54428 0.60002 0.00158 0.00864 0.68429 0.67741 0.75718 0.27643 0.42727 0.00426 0.49306 0.69872 0.00605 0.57825 0.23557 0.30156 0.41428 0.05841 0.69498 0.17551 0.74537 0.92757 0.48339 0.20944 0.26525 0.66745 0.73452 0.56763 0.27941 0.66090 0.90452 0.63741 0.18906 0.93559 0.45498 0.56582 0.38879 0.60518 0.01224 0.74823 0.20764 0.21060 0.65937 0.30672 0.41712 0.69175 0.22942 0.29358 0.39161 0.04195 0.54857 0.27784 0.21221 0.53019 0.66704 0.97625 0.16604 0.64276 0.79659 0.64736 0.41669 0.76796 0.94731 0.80096 0.08953 0.80498 0.20002 0.51519 0.71224 0.51915 0.40177 0.78125 0.84243 0.53409 0.13953 0.53294 0.94741 0.80691 0.33665 0.52461 0.61410 0.95804 0.88260 0.34683 0.38284 0.30477 0.55270 0.96367 0.43772 0.66477 0.89129 0.97756 0.05242 0.96547 0.77337 0.91679 0.77775 0.92256 0.14146 0.56015 0.24598 0.78328 0.23432 0.57640 0.63147 0.40449 0.58559 0.07377 0.55034 0.81468 0.60620 0.15694 0.44092 0.91513 0.98226 0.32417 0.14483 0.53639 0.68808 0.70190 0.02092 0.65379 0.40113 0.25196 0.40303 0.48806 0.59804 0.12138 0.87418 0.55482 0.70632 0.59119 0.65137 0.54065 0.03590 0.60508 0.71602 0.33178 0.51072 0.91746 0.48022 0.13030 0.24133 0.09263 0.57643 0.94051 0.70422 0.22728 0.85507 0.36642 0.46111 0.13312 0.50149 0.57126 0.30727 0.28368 0.65366 0.77539 0.46495 0.68176 0.19000 0.33155 0.69217 0.63842 0.52969 0.73637 0.84882 0.60193 0.48063 0.04527 0.16273 0.86637 0.42406 0.15573 0.52762 0.58791 0.17820 0.82553 0.67287 0.08137 0.24703 0.74793 0.04573 0.01718 0.36661 0.27090 0.49781 0.49489 0.73112 0.86981 0.00345 0.09425 0.99741 0.21171 0.89693 0.82961 0.00080 0.32024 0.37602 0.47291 0.92465 0.65598 0.20683 0.61314 0.27707 0.43248 0.17783 0.46014 0.20939 0.64075 0.22445 0.39290 0.67428 0.24417 0.24522 0.31878 0.97627 0.62615 0.67709 0.23684 0.19750 0.28671 0.47624 0.06434 0.93586 0.22548 0.72276 0.58600 0.18321 0.52378 0.13484 0.83043 0.52769 0.54004 0.91948 0.63942 0.99599 0.49726 0.53652 0.14134 0.62161 0.40267 0.08180 0.37107 0.60936 0.41431 0.70943 0.56727 0.36688 0.68174 0.59640 0.74432 0.84012 0.86877 0.59467 0.93563 0.53229 0.15633 0.88169 0.59144 0.01057 0.56572 0.41295 0.63079 0.53615 0.53097 0.59439 0.67389 0.37914 0.62919 0.64684 0.39188 0.99547 0.72374 0.17104 0.65110 0.81166 0.75501 0.46889 0.00104 0.94570 0.47483 0.12069 0.68152 0.59151 0.25134 0.56171 0.85075 0.20986 0.69953 0.14571 0.40098 0.83068 0.75551 0.25166 0.84178 0.81738 0.87555 0.65482 0.21547 0.18378 0.06617 0.67643 0.18821 0.15183 0.16233 0.07829 0.16629 0.66001 0.15617 0.33629 0.52988 0.05003 0.71814 0.43804 0.72669 0.14127 0.81403 0.38594 0.99626 0.63075 0.50295 0.91020 0.84777 0.24178 0.85456 0.46301 0.57463 0.61576 0.52328 0.64524 0.65219 0.31422 0.07963 0.14800 0.69314 0.73797 0.54831 0.87784 0.57549 0.01026 0.24100 0.88749 0.53023 0.39577 0.90883 0.30794 0.39472 0.98018 0.47760 0.87585 0.42858 0.60891 0.35333 0.32693 0.96959 0.16954 0.52995 0.36784 0.26052 0.27488 0.10940 0.45296 0.27915 0.57235 0.26513 0.35535 0.59026 0.24029 0.62750 0.09996 0.35434 0.84962 0.00848 0.18071 0.54679 0.24901 0.99549 0.81204 0.33903 0.87249 0.28006 0.10636 0.31599 0.89715 0.61382 0.55275 0.57718 0.43980 0.20649 0.90284 0.28857 0.85760 0.22322 0.71103 0.11821 0.93701 0.81155 0.15172 0.33194 0.38995 0.43298 0.26350 0.02764 0.96217 0.44746 0.48586 0.02375 0.60911 0.50186 0.28949 0.70319 0.70511 0.84854 0.58211 0.36488 0.31713 0.79120 0.52170 0.29101 0.46423 0.50730 0.24597 0.26964 0.67455 0.87426 0.82423 0.38277 0.41423 0.92402 0.80740 0.25244 0.04893 0.92583 0.45938 0.78243 0.46078 0.45197 0.46338 0.00679 0.17635 0.59611 0.44006 0.45237 0.83878 0.18622 0.32542 0.86145 0.73062 0.79447 0.80534 0.06668 0.03431 0.98032 0.60772 0.54273 0.10706 0.42503 0.47586 0.01680 0.14939 0.11109 0.07379 0.93044 0.10844 0.25558 0.59728 0.29302 0.04908 0.45228 0.33325 0.81719 0.78577 0.21989 0.79924 0.55524 0.86292 0.95354 0.79962 0.12787 0.44688 0.42245 0.23074 0.39903 0.50658 0.34464 0.36366 0.21087 0.20365 0.32703 0.91305 0.55217 0.73810 0.24436 0.56369 0.42460 0.18643 0.44102 0.81985 0.11743 0.98875 0.98009 0.42005 0.51835 0.54765 0.11887 0.06930 0.89778 0.71119 0.22250 0.83726 0.54174 0.71947 0.37706 0.10812 0.32762 0.25571 0.42032 0.06817 0.86036 0.31932 0.05409 0.70482 0.07870 0.14063 0.20565 0.43287 0.76895 0.49782 0.65584 0.16380 0.21251 0.29309 0.29641 0.50678 0.89463 0.75023 0.52655 0.44777 0.20620 0.12386 0.92396 0.51808 0.81744 0.33544 0.18479 0.72931 0.00481 0.55919 0.98581 0.95455 0.22906 0.21359 0.95936 0.22278 0.57767 0.09252 0.67779 0.66658 0.94617 0.53599 0.71631 0.66910 0.09800 0.22103 0.93787 0.94536 0.84749 0.94364 0.04475 0.04367 0.90599 0.70025 0.86112 0.59770 0.22531 0.48211 0.79563 0.47733 0.13456 0.68170 0.26597 0.07403 0.87674 0.15055 0.48017 0.51768 0.58714 0.67022 0.76858 0.55575 0.70254 0.49881 0.97225 0.35311 0.84762 0.06405 0.31237 0.74325 0.44725 0.81836 0.22951 0.42433 0.07099 0.98337 0.41176 0.36686 0.53811 0.73856 0.50595 0.34505 0.56919 0.60005 0.80216 0.77561 0.49742 0.33870 0.70919 0.99363 0.56966 0.67155 0.67549 0.38222 0.66456 0.82943 0.83696 0.26889 0.68939 0.41590 0.14468 0.76728 0.36204 0.84535 0.79739 0.53744 0.95305 0.44286 0.94383 0.92896 0.71143 0.89472 0.40351 0.75974 0.91770 0.81079 0.03486 0.66710 0.77200 0.25122 0.14389 0.80126 0.02706 0.27147 0.47293 0.60663 0.19676 0.36200 0.48791 0.46297 0.95011 0.19885 0.52964 0.51187 0.68391 0.03160 0.85805 0.45963 0.38866 0.78231 0.65260 0.60880 0.11610 0.37403 0.27687 0.48121 0.35150 0.51508 0.01974 0.28562 0.72591 0.71452 0.88975 0.77657 0.48211 0.19135 0.09887 0.97040 0.05834 0.48003 0.60922 0.91525 0.89678 0.72496 0.46204 0.58324 0.48566 0.62988 0.98864 0.96058 0.22150 0.74726 0.26238 0.78974 0.39303 0.11763 0.34138 0.12264 0.88220 0.38770 0.25146 0.43001 0.50118 0.60920 0.68514 0.99832 0.46035 0.04601 0.14949 0.07180 0.36169 0.50666 0.22283 0.05086 0.06484 0.33812 0.97242 0.63604 0.26678 0.95680 0.73949 0.53300 0.41982 0.73261 0.75386 0.25133 0.70511 0.38587 0.48164 0.19940 0.63499 0.79507 0.09635 0.79020 0.37113 0.25942 0.28920
2. Display as a table:
disp(array2table(S))
S1 S2 S3 S4 S5 S6 S7 S8 S9 S10 S11 S12 _________ _________ __________ ________ ________ _________ ________ _________ ________ ________ ________ _________ 0.51976 0.92948 0.9702 0.28578 0.16797 0.44005 0.72651 0.9331 0.98214 0.4676 0.34712 0.77589 0.67844 0.77328 0.67818 0.11586 0.95628 0.64363 0.56832 0.82544 0.89757 0.98402 0.57775 0.28754 0.20209 0.57968 0.15683 0.86531 0.59546 0.40877 0.4829 0.37532 0.9349 0.99559 0.91461 0.073396 0.65467 0.83835 0.86303 0.17354 0.65331 0.2148 0.22297 0.82001 0.53721 0.54815 0.78334 0.97966 0.21515 0.72319 0.33473 0.74998 0.7729 0.90372 0.79591 0.67562 0.33738 0.36206 0.50923 0.047393 0.67289 0.37958 0.39829 0.24304 0.89867 0.38513 0.59664 0.64306 0.40112 0.12243 0.26842 0.58025 0.69316 0.22058 0.63952 0.36683 0.81306 0.37355 0.92491 0.99165 0.11399 0.68405 0.60777 0.38919 0.6093 0.73155 0.5699 0.41384 0.38508 0.61097 0.51468 0.88142 0.33101 0.61681 0.2806 0.062576 0.59056 0.0046856 0.46285 0.54799 0.027415 0.66278 0.79294 0.76562 0.058515 0.51541 0.48805 0.8933 0.88224 0.96952 0.016442 0.11941 0.54434 0.1174 0.05657 0.56453 0.10954 0.58102 0.47196 0.38528 0.053086 0.32611 0.76959 0.47115 0.50554 0.28165 0.27157 0.82965 0.30565 0.90816 0.30684 0.33535 0.64816 0.24901 0.94003 0.20505 0.98449 0.091863 0.6236 0.81448 0.64734 0.69714 0.046722 0.86238 0.2408 0.96751 0.31897 0.20306 0.98599 0.51588 0.58682 0.15407 0.083815 0.99445 0.71889 0.29971 0.69921 0.012507 0.071089 0.52285 0.77914 0.64141 0.68132 0.16809 0.69005 0.66856 0.62494 0.45954 0.81759 0.77855 0.25702 0.95171 0.33839 0.53078 0.17182 0.66694 0.65162 0.53876 0.3866 0.062841 0.60344 0.87723 0.43369 0.37886 0.97672 0.6299 0.14066 0.77485 0.037209 0.56199 0.71874 0.54873 0.68509 0.66296 0.95235 0.052004 0.39269 0.56848 0.1373 0.74747 0.78891 0.50234 0.99627 0.55012 0.95748 0.11082 0.57223 0.54273 0.25994 0.85041 0.25927 0.24128 0.21875 0.77515 0.23948 0.743 0.4079 0.9857 0.61499 0.96236 0.45251 0.43008 0.344 0.12817 0.045974 0.42763 0.64597 0.46241 0.27976 0.083409 0.94955 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0.048748 0.36349 0.89306 0.64709 0.28787 0.12144 0.60336 0.585 0.49312 0.84286 0.42424 0.87672 0.28394 0.83506 0.38567 0.39176 0.43735 0.65526 0.10818 0.88831 0.185 0.29879 0.37519 0.5268 0.6641 0.96015 0.57485 0.15772 0.43809 0.94419 0.84225 0.088039 0.8058 0.66466 0.60401 0.9041 0.1157 0.52905 0.96768 0.35376 0.14276 0.2176 0.74571 0.22402 0.51188 0.12289 0.78412 0.8089 0.95246 0.65317 0.10215 0.96186 0.24212 0.61457 0.69844 0.47712 0.27727 0.21948 0.85617 0.87767 0.44785 0.47806 0.11153 0.13158 0.83819 0.87614 0.66945 0.35764 0.028276 0.63193 0.18811 0.6084 0.79149 0.15815 0.39653 0.60274 0.20003 0.77765 0.50097 0.67011 0.72245 0.48047 0.63661 0.22473 0.76014 0.39464 0.95281 0.6508 0.49169 0.5981 0.4966 0.13344 0.39301 0.61933 0.44707 0.87664 0.84844 0.32277 0.012956 0.54428 0.60002 0.0015841 0.008644 0.68429 0.67741 0.75718 0.27643 0.42727 0.0042597 0.49306 0.69872 0.006049 0.57825 0.23557 0.30156 0.41428 0.058411 0.69498 0.17551 0.74537 0.92757 0.48339 0.20944 0.26525 0.66745 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Further, if I want to display them graphically such that each displayed graph tells me that this is the graph of s2, s3, s4,
s21, s31, s41,
s22, s32, s42,
s23, s33, s43 etc.
How can we do that using a semilogarithmic graph for vertical axis and Runs on horizontal axis respectively. Further, can we display them graphically in such way that all the graphs of s2,s3 and s4 are in one colour such that colour of s2 is dark, colour of s3 is the same colour but lighter than s2 and then colour of s4 is further lighter than s3. And thei same patern is also for the others i.e. s41 is lighter than s31 which is lighter than s21. Likewise, s42 is lighter than s32 which is lighter than s22 and so on.
Voss
Voss 2024년 3월 3일
"I want to display them graphically such that each displayed graph tells me that this is the graph of s2, s3, s4, s21, s31, s41,
s22, s32, s42,
s23, s33, s43 etc."
I'm not sure what you're asking here. Use a legend? Maybe a legend with NumColumns=3?
"How can we do that using a semilogarithmic graph for vertical axis"
Use semilogy or set(gca(),'YScale','log').
"can we display them graphically in such way that all the graphs of s2,s3 and s4 are in one colour such that colour of s2 is dark, colour of s3 is the same colour but lighter than s2 and then colour of s4 is further lighter than s3. And thei same patern is also for the others i.e. s41 is lighter than s31 which is lighter than s21. Likewise, s42 is lighter than s32 which is lighter than s22 and so on."
Specify the colors when you plot them.
Sadiq Akbar
Sadiq Akbar 2024년 3월 3일
편집: Sadiq Akbar 2024년 3월 3일
I mean I want to display them in a single graph window. As there are 12 sets of data, it means the graph window will have 12 line graphs. But these line graphs should be such that each graph is recognizable that this graph is for say for example s2, s3, s4,s21, s31, s41,s22, s32, s42, s23, s33, s43. But the colours of these line graphs should be such that the 1st three graphs namely s2,s3 and s4 should be of blue colours but the colour of s4 must be lighter in colour than s3 and colour of s3 line graph should be lighter than s2. Then the colour of line graph of the next 3 graphs namely s21,s31 and s41 should be green such that the colour of s41 is lighter than s31 and the colour of 31 should be lighter than s21. Likewise, the colour of the next 3 graphs namely must be of purple colour on the same pattern and the colour of the next 3 graphs should be orange on the same pattern.
So what is the problem? Learn to specify the color of a segmented line. You can do that using the function line. And then you can plot the lines in any color you want. Multiple calls to line will plot on the same set of axes. You need not even use the hold command.
For example...
for r = 0:.1:1
line(sort(rand(1,5)),3*r + sort(rand(1,5)),'color',[r,.1,.3])
end
All you need to do now is learn how to control the colors using an RGB triple, so you need to understand the RGB color space.
Thanks alot for your guiadance. I tried it like below, but in vain:
clear;clc
s2=rand(100,1);
s3=rand(100,1);
s4=rand(100,1);
s21=rand(100,1);
s31=rand(100,1);
s41=rand(100,1);
s22=rand(100,1);
s32=rand(100,1);
s42=rand(100,1);
s23=rand(100,1);
s33=rand(100,1);
s43=rand(100,1);
S=[s2 s3 s4 s21 s31 s41 s22 s32 s42 s23 s33 s43];
S=sort(S);
Runs=1:100;
% for r = linspace(0,1,12) %0:.1:1
% line(sort(S),3*r + sort(S),'color',[r,.1,.3],'linewidth',2)
% end
% figure
% semilogy(Runs,S,'linewidth',2)%----------------------(1)
figure
for r = linspace(0,1,12)
semilogy(Runs,S,3*r+S, 'color',[r,.1,.3],'linewidth',2)
end
I want a graph like in (1) i.e. the Runs shoud be along horizontal axis and the values of S should be on vertical axis but logarithmically but with my desired colour or the colour varying like yours. So tried like you but it gives me error.
Error using semilogy
Data must be a single input of y-values or one or more pairs of x- and y-values.
Error in graphDesiredColour3 (line 28)
semilogy(Runs,S,3*r+S, 'color',[r,.1,.3],'linewidth',2)
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