How to sum up each data value in 1 txt file?

Hello, How can I read the txt file and sum third column values of each first and second row (dryz + wetz) into 1 added value and make it to another txt file?

Answer 1

[Voss]

data = readmatrix('VMF1.BAKO.txt');

odd_rows = data(1:2:end,3);
even_rows = data(2:2:end,3);

% add each dry element to its corresponding wet element
writematrix(odd_rows+even_rows,'sum_dry_and_wet.txt')

type sum_dry_and_wet.txt % see the result

2.63515953438603
2.63513965511074
2.63513667431955
2.63513369352797
2.63513071273678
2.63512773194519
2.635124751154
2.63512177036241
2.63511878957123
2.63511580877964
2.63511282798845
2.63510984719726
2.63510686640568
2.63510388561449
2.6351009048229
2.63509792403171
2.63509494324012
2.63509196244893
2.63508898165735
2.63508600086616
2.63508302007497
2.63508003928338
2.63507705849219
2.63507407770061
2.63507109690942
2.63506811611783
2.63506513532664
2.63506215453505
2.63505917374387
2.63505619295268
2.63505321216109
2.6350502313699
2.63504725057832
2.63504426978713
2.63504128899554
2.63503830820435
2.63503532741276
2.63503234662158
2.63502936583039
2.6350263850388
2.63502340424761
2.63502042345602
2.63501744266484
2.63501446187325
2.63501148108206
2.63500850029047
2.63500551949928
2.6350025387081
2.63499955791651
2.63499657712532
2.63499359633373
2.63499061554254
2.63498763475096
2.63498465395977
2.63498167316818
2.63497869237699
2.6349757115858
2.63497273079422
2.63496975000303
2.63496676921144
2.63496378842025
2.63496080762866
2.63495782683748
2.63495484604589
2.6349518652547
2.63494888446351
2.63494590367192
2.63494292288074
2.63493994208915
2.63493696129796
2.63493398050637
2.63493099971519
2.6349280189236
2.63483235516345
2.63473077547474
2.6346291957724
2.63452761608369
2.63442603638136
2.63432445669264
2.63422287699031
2.6341212973016
2.63401971759926
2.63391813791055
2.63381655822184
2.63371497851951
2.63361339883079
2.63351181912846
2.63341023943975
2.63330865973741
2.6332070800487
2.63310550034637
2.63300392065766
2.63290234096895
2.63280076126661
2.6326991815779
2.63259760187557
2.63249602218685
2.63239444248452
2.63229286279581
2.63219128309347
2.63208970340476
2.63198812371605
2.63188654401371
2.631784964325
2.63168338462267
2.63158180493396
2.63148022523162
2.63137864554291
2.63127706584058
2.63117548615187
2.63107390646315
2.63097232676082
2.63087074707211
2.63076916736977
2.63066758768106
2.63056600797873
2.63046442829002
2.63036284858768
2.63026126889897
2.63015968921026
2.63005810950792
2.62995652981921
2.62985495011688
2.62975337042817
2.62965179072583
2.62955021103712
2.62944863133479
2.62934705164607
2.62924547195736
2.62914389225503
2.62904231256632
2.62894073286398
2.62883915317527
2.62873757347294
2.62863599378422
2.62853441408189
2.62843283439318
2.62833125470447
2.62822967500213
2.62812809531342
2.62802651561109
2.62792493592238
2.62782335622004
2.62772177653133
2.627620196829
2.62772132049919
2.62783538266934
2.6279494448548
2.62806350702495
2.6281775692104
2.62829163138056
2.62840569356601
2.62851975573617
2.62863381792162
2.62874788009178
2.62886194226194
2.62897600444739
2.62909006661755
2.629204128803
2.62931819097315
2.62943225315861
2.62954631532876
2.62966037751422
2.62977443968437
2.62988850185453
2.63000256403998
2.63011662621014
2.63023068839559
2.63034475056575
2.6304588127512
2.63057287492136
2.63068693710681
2.63080099927697
2.63091506144712
2.63102912363258
2.63114318580273
2.63125724798819
2.63137131015834
2.63148537234379
2.63159943451395
2.6317134966994
2.63182755886956
2.63194162103972
2.63205568322517
2.63216974539533
2.63228380758078
2.63239786975093
2.63251193193639
2.63262599410654
2.632740056292
2.63285411846215
2.63296818063231
2.63308224281776
2.63319630498792
2.63331036717337
2.63342442934353
2.63353849152898
2.63365255369914
2.63376661588459
2.63388067805475
2.6339947402249
2.63410880241036
2.63422286458051
2.63433692676597
2.63445098893612
2.63456505112158
2.63467911329173
2.63479317547718
2.63490723764734
2.6350212998175
2.63513536200295
2.63524942417311
2.63536348635856
2.63547754852872
2.63559161071417
2.63570567288432
2.63581973506978
2.63553005316954
2.63521460039569
2.63489914757955
2.63458369480571
2.63426824198956
2.63395278921572
2.63363733639957
2.63332188362573
2.63300643080958
2.63269097803574
2.6323755252619
2.63206007244575
2.63174461967191
2.63142916685576
2.63111371408192
2.63079826126578
2.63048280849193
2.63016735567579
2.62985190290195
2.6295364501281
2.62922099731196
2.62890554453812
2.62859009172197
2.62827463894813
2.62795918613198
2.62764373335814
2.62732828054199
2.62701282776815
2.62669737499431
2.62638192217816
2.62606646940432
2.62575101658818
2.62543556381433
2.62512011099819
2.62480465822435
2.6244892054082
2.62417375263436
2.62385829986052
2.62354284704437
2.62322739427053
2.62291194145438
2.62259648868054
2.62228103586439
2.62196558309055
2.6216501302744
2.62133467750056
2.62101922472672
2.62070377191057
2.62038831913673
2.62007286632059
2.61975741354675
2.6194419607306
2.61912650795676
2.61881105514061
2.61849560236677
2.61818014959293
2.61786469677678
2.61754924400294
2.61723379118679
2.61691833841295
2.6166028855968
2.61628743282296
2.61597198000681
2.61565652723297
2.61534107445913
2.61502562164299
2.61471016886914
2.614394716053
2.61407926327916
2.61376381046301
2.61344835768917
2.61313290487302

% - or -
% add all dry elements and add all wet elements
writematrix([sum(odd_rows); sum(even_rows)],'sum_dry_and_sum_wet.txt')

type sum_dry_and_sum_wet.txt % see the result

656.504201744706
103.741030417315

[Anak Agung Adhi Dermawan]

Thank you sir