can any body detect error i am not understanding why output is getting like this
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for k4=1:24
        for i=1:10
            kk(k4,i)=f(k4,i)/favg(k4,1);
         end
end
in the output 1,10,11,12,13,14,22,23,24 rows are same, why this rows r same fraction values, 
f=[0.757321448094497	0.622450790767213	0.559024185398725	0.620062730264781	0.879584295855025	0.513346651010516	0.742894238012083	0.490797616306833	0.540292675202356	0.654647923477949
0.894186770039285	0.734941897532372	0.660052652639458	0.732122259830706	0.964213491200260	0.606120142156995	0.877152232833544	0.579495980699634	0.637935929756998	0.772957789166735
0.958935696687547	0.858682114974047	0.771183966604265	0.855387742353223	0.850433344076531	0.708170982418122	0.976339250877436	0.677064181531716	0.745343509767105	0.903098641424400
0.848140265535573	0.998831885165085	0.899153358442527	0.997329813136727	0.773297803006597	0.825684071203662	0.859765986029646	0.789415443095930	0.869024965536319	0.952114063508325
0.815289892016047	0.944313331668056	0.954382253867462	0.947556235211515	0.749587745027913	0.876400246363737	0.825397739599715	0.837903882297328	0.922403278026190	0.904770551540544
0.837421873135620	0.980843791143446	0.915991436315983	0.984490113538943	0.765605221207829	0.841146319728075	0.848542575864425	0.804198503828064	0.885298841295426	0.936546929755457
0.901738312068497	0.922427075474304	0.828433431374014	0.918888142440580	0.811146380211471	0.760742627401126	0.916031831535717	0.727326588020970	0.800674687348069	0.970140898648046
0.971743785807999	0.798686858032629	0.717302117409207	0.795622659918063	0.897694502613225	0.658691787140000	0.953231763232372	0.629758387188888	0.693267107337963	0.840000046390381
0.875938060446647	0.719943083297018	0.646582190340694	0.717180989221916	0.983231377466568	0.593750343337465	0.859251166857350	0.567669532113928	0.624916829149713	0.757183140408231
0.734510561103698	0.603702272973020	0.542186107525269	0.601386142003794	0.853090792967826	0.497884402486103	0.720517905541840	0.476014555574700	0.524018799443249	0.634929612529818
0.670640077529464	0.551206423149279	0.495039489479594	0.549091694873029	0.778908984883667	0.454590106617746	0.657864174625158	0.434621985524726	0.478451947317749	0.579718341875052
0.729948383705539	0.599952569414181	0.538818491950578	0.597650824351597	0.847792092390386	0.494791952781220	0.716042639047791	0.473057943428273	0.520764024291427	0.630985950340192
0.775570157687135	0.637449605002568	0.572494647697489	0.635004000873571	0.900779098164785	0.525716449830047	0.760795303988278	0.502624064892540	0.553311775809641	0.670422572236454
0.844002818659529	0.693695158385147	0.623008881317856	0.691033765656533	0.980259606826384	0.572103195403286	0.827924301399009	0.546973247088941	0.602133403086963	0.729577505080847
0.948932898817200	0.779938340238436	0.700464039535752	0.776946071657076	0.915192925463580	0.643229538615587	0.930855430762128	0.614975326456755	0.676993231578855	0.820281735442250
0.947687567701550	0.869931225650563	0.781286813328338	0.866593695309815	0.842795149526017	0.717448331532770	0.964457978694485	0.685934017970996	0.755107835222569	0.914929627993279
0.901738312068497	0.922427075474304	0.828433431374014	0.918888142440580	0.811146380211471	0.760742627401126	0.916031831535717	0.727326588020970	0.800674687348069	0.970140898648046
0.917024784645614	0.903678557680111	0.811595353500558	0.900211554179592	0.821755771654129	0.745280378876713	0.932122817552421	0.712543527288836	0.784400811588962	0.950422587699914
0.933520599344939	0.884930039885917	0.794757275627103	0.881534965918605	0.833114216897085	0.729818130352300	0.949508594205745	0.697760466556702	0.768126935829855	0.930704276751783
0.974842904059474	0.843683300738693	0.757713504305501	0.840446471744433	0.861163311689378	0.695801183598591	0.993159910351148	0.665237732946009	0.732324409159819	0.887323992665895
0.930684189224562	0.764939526003081	0.686993577236987	0.762004801048286	0.930340804694132	0.630859739796056	0.912954364785934	0.603148877871048	0.663974130971570	0.804507086683745
0.830316286465050	0.682446047708631	0.612906034593783	0.679827812699941	0.964363505094064	0.562825846288638	0.814498501916863	0.538103410649660	0.592369077631498	0.717746518511969
0.734510561103698	0.603702272973020	0.542186107525269	0.601386142003794	0.853090792967826	0.497884402486103	0.720517905541840	0.476014555574700	0.524018799443249	0.634929612529818
0.597645239158910	0.491211166207861	0.441157640284536	0.489326612437870	0.694129775644628	0.405110911339624	0.586259910720379	0.387316191181898	0.426375544888606	0.516619746841032];
favg=[0.638042255438998
0.745917914585599
0.830463943071439
0.881275765466039
0.877800515561851
0.880008560581327
0.855754997452279
0.795599901507073
0.734564671263953
0.618824115214932
0.565013322587546
0.614980487170119
0.653416767618251
0.711071188290450
0.780780953856762
0.834617224293038
0.855754997452279
0.847903614466685
0.840377550137003
0.825169672125894
0.769040709831540
0.699540304156010
0.618824115214932
0.503515273870535];
output 
kk=1.18694560060670	0.975563586049552	0.876155428003894	0.971820792399015	1.37856746689894	0.804565288011080	1.16433391625597	0.769224314099926	0.846797638552345	1.02602596912257
1.19877368883955	0.985285221284269	0.884886446260184	0.981505130142159	1.29265361824154	0.812582899947818	1.17593667571432	0.776889748011453	0.855236102100335	1.03625046945837
1.15469877372515	1.03397880442376	0.928618241692795	1.03001189815611	1.02404607830562	0.852741396332005	1.17565519734244	0.815284260298671	0.897502553826095	1.08746279589734
0.962400532014014	1.13339311519236	1.02028603721678	1.13168868612802	0.877475397950674	0.936919070691818	0.975592453260055	0.895764383896872	0.986098789493841	1.08038153415557
0.928787210262923	1.07577213151172	1.08724275840348	1.07946648288879	0.853938601924980	0.998404797931546	0.940302181380477	0.954549316664520	1.05081195747053	1.03072456156104
0.951606507762181	1.11458437460598	1.04088923374892	1.11872788247491	0.869997469913334	0.955838792264043	0.964243547021730	0.913853046266750	1.00601162414898	1.06424752179318
1.05373420517919	1.07791024092236	0.968073144580393	1.07377478971932	0.947872209483304	0.888972462522544	1.07043702258578	0.849923856929072	0.935635421039675	1.13366664703836
1.22139756926473	1.00388003633448	0.901586483420185	1.00002860534667	1.12832404945345	0.827918386983541	1.19812956415241	0.791551615323183	0.871376562546997	1.05580712717435
1.19245873741714	0.980094893562229	0.880225003508719	0.976334715346268	1.33852255074388	0.808302340916844	1.16974202608853	0.772797214896203	0.850730852702770	1.03079166481742
1.18694560060670	0.975563586049552	0.876155428003894	0.971820792399015	1.37856746689894	0.804565288011080	1.16433391625597	0.769224314099926	0.846797638552345	1.02602596912257
1.18694560060670	0.975563586049552	0.876155428003894	0.971820792399015	1.37856746689894	0.804565288011080	1.16433391625598	0.769224314099926	0.846797638552346	1.02602596912257
1.18694560060670	0.975563586049552	0.876155428003894	0.971820792399014	1.37856746689894	0.804565288011080	1.16433391625597	0.769224314099926	0.846797638552345	1.02602596912257
1.18694560060670	0.975563586049552	0.876155428003894	0.971820792399014	1.37856746689894	0.804565288011080	1.16433391625597	0.769224314099926	0.846797638552345	1.02602596912257
1.18694560060670	0.975563586049552	0.876155428003894	0.971820792399014	1.37856746689894	0.804565288011080	1.16433391625597	0.769224314099926	0.846797638552345	1.02602596912257
1.21536378945956	0.998920806643446	0.897132590229981	0.995088401963773	1.17215067932033	0.823828418762365	1.19221072973675	0.787641301211319	0.867071908241057	1.05059137443142
1.13547568887557	1.04231161343146	0.936101952592851	1.03831273796663	1.00979841416514	0.859613617656266	1.15556922457649	0.821854615511938	0.904735504185387	1.09622663103828
1.05373420517919	1.07791024092236	0.968073144580393	1.07377478971932	0.947872209483304	0.888972462522544	1.07043702258578	0.849923856929072	0.935635421039675	1.13366664703836
1.08152007964066	1.06577981537266	0.957178787368463	1.06169090309375	0.969161774562074	0.878968276772214	1.09932638763276	0.840359110554107	0.925106106644368	1.12090875835895
1.11083476610334	1.05301484998219	0.945714548773390	1.04897491106812	0.991357059408911	0.868440774308310	1.12985954235802	0.830294034440769	0.914026006173809	1.10748350738315
1.18138479513913	1.02243614766537	0.918251760699584	1.01851352532041	1.04361968305349	0.843221954347875	1.20358266172393	0.806182965052689	0.887483427830211	1.07532307916731
1.21018845599010	0.994667143395625	0.893312367543553	0.990851058086645	1.20974194577804	0.820320344204206	1.18713398798604	0.784287320762472	0.863379691716209	1.04611768453711
1.18694560060670	0.975563586049552	0.876155428003894	0.971820792399014	1.37856746689894	0.804565288011080	1.16433391625597	0.769224314099926	0.846797638552345	1.02602596912257
1.18694560060670	0.975563586049552	0.876155428003894	0.971820792399015	1.37856746689894	0.804565288011080	1.16433391625597	0.769224314099926	0.846797638552345	1.02602596912257
1.18694560060670	0.975563586049552	0.876155428003894	0.971820792399015	1.37856746689894	0.804565288011080	1.16433391625597	0.769224314099926	0.846797638552345	1.02602596912257
1 comentario
  Walter Roberson
      
      
 el 13 de En. de 2019
				That is just how the data is.
>> f(1,:)./f(10,:)
ans =
    1.0311    1.0311    1.0311    1.0311    1.0311    1.0311    1.0311    1.0311    1.0311    1.0311
>> favg(1)/favg(10)
ans =
    1.0311
Note: starting from R2016b, your code can be written without a loop as
 kk = f ./ favg;
In versions before that,
 kk = bsxfun(@divide, f, favg);
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