write double class to .txt file

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ha ha
ha ha am 21 Jun. 2018
Bearbeitet: ha ha am 22 Jun. 2018
Let' say , I have the data in Matlab with the result is ha=14x3 double.
ha=[ 6.74483465234e+05 1.512013286060e+06 -11.6250
6.74483565235e+05 1.512013586059e+06 -11.1250
6.74483665235e+05 1.512013186059e+06 -11.6150
............................................................]
How can I convert "ha" to the file with extension file name .txt?

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ha ha
ha ha am 21 Jun. 2018
Bearbeitet: ha ha am 22 Jun. 2018
dlmwrite('output.txt', ha, 'delimiter','\t','newline','pc','precision',13);
where "precision": using a precision of 13 significant digits. https://www.youtube.com/watch?v=PGPBCAPd9Vg&feature=youtu.be
  1 Kommentar
Walter Roberson
Walter Roberson am 21 Jun. 2018
Two steps are not needed. If you already have ha then just the dlmwrite() would be needed.

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Walter Roberson
Walter Roberson am 21 Jun. 2018
save YourFileNameGoesHere.txt ha -ascii -double
  3 Kommentare
Walter Roberson
Walter Roberson am 21 Jun. 2018
Which MATLAB release are you using? And is it possible there was a special character in the file name?
>> ha = rand(14,3)
ha =
0.564311118993862 0.817996881165875 0.4914408954708
0.886208766442231 0.916848547977997 0.586965769028758
0.540386873298003 0.704906196238206 0.382831659385335
0.741939008541082 0.713764731668324 0.220845951876804
0.363907275377093 0.0580101724585301 0.918355702076729
0.638543500573447 0.644690448569641 0.0871660376642051
0.156344591720558 0.930698521135438 0.800057722205667
0.559201781113188 0.449742685010024 0.476716144812095
0.403763678573054 0.849106807977924 0.0535249742035238
0.265807233888716 0.663712003994611 0.554110729632032
0.130106666955534 0.0349694247231292 0.876998654274985
0.343754546565382 0.528773374253961 0.555621900932396
0.800416117923546 0.0481754648350227 0.292102339706884
0.259467705281624 0.717624324039735 0.493149570541529
>> save YourFileNameGoesHere.txt ha -ascii -double
>> !cat YourFileNameGoesHere.txt
5.6431111899386210e-01 8.1799688116587477e-01 4.9144089547079994e-01
8.8620876644223134e-01 9.1684854797799731e-01 5.8696576902875774e-01
5.4038687329800261e-01 7.0490619623820627e-01 3.8283165938533514e-01
7.4193900854108186e-01 7.1376473166832366e-01 2.2084595187680411e-01
3.6390727537709278e-01 5.8010172458530129e-02 9.1835570207672856e-01
6.3854350057344667e-01 6.4469044856964086e-01 8.7166037664205054e-02
1.5634459172055792e-01 9.3069852113543838e-01 8.0005772220566729e-01
5.5920178111318763e-01 4.4974268501002368e-01 4.7671614481209534e-01
4.0376367857305351e-01 8.4910680797792426e-01 5.3524974203523756e-02
2.6580723388871619e-01 6.6371200399461117e-01 5.5411072963203234e-01
1.3010666695553419e-01 3.4969424723129250e-02 8.7699865427498491e-01
3.4375454656538218e-01 5.2877337425396143e-01 5.5562190093239616e-01
8.0041611792354628e-01 4.8175464835022663e-02 2.9210233970688437e-01
2.5946770528162444e-01 7.1762432403973464e-01 4.9314957054152853e-01
ha ha
ha ha am 21 Jun. 2018
thank @Walter Roberson

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