How to solve Dataset loading problem?

I am trying to load a dataset about daily living activities on matlab.The content of the txt file contains the following information
2011-11-28 02:27:59 2011-11-28 10:18:11 Sleeping
2011-11-28 10:21:24 2011-11-28 10:23:36 Toileting
2011-11-28 10:25:44 2011-11-28 10:33:00 Showering
2011-11-28 10:34:23 2011-11-28 10:43:00 Breakfast
2011-11-28 10:49:48 2011-11-28 10:51:13 Grooming
2011-11-28 10:51:41 2011-11-28 13:05:07 Spare_Time/TV
2011-11-28 13:06:04 2011-11-28 13:06:31 Toileting
2011-11-28 13:09:31 2011-11-28 13:29:09 Leaving
2011-11-28 13:38:40 2011-11-28 14:21:40 Spare_Time/TV
2011-11-28 14:22:38 2011-11-28 14:27:07 Toileting
2011-11-28 14:27:11 2011-11-28 15:04:00 Lunch
2011-11-28 15:04:59 2011-11-28 15:06:29 Grooming
2011-11-28 15:07:01 2011-11-28 20:20:00 Spare_Time/TV
2011-11-28 20:20:55 2011-11-28 20:20:59 Snack
2011-11-28 20:21:15 2011-11-29 02:06:00 Spare_Time/TV
2011-11-29 02:16:00 2011-11-29 11:31:00 Sleeping
2011-11-29 11:31:55 2011-11-29 11:36:55 Toileting
2011-11-29 11:37:38 2011-11-29 11:48:54 Grooming
2011-11-29 11:49:57 2011-11-29 11:51:13 Showering
2011-11-29 12:08:28 2011-11-29 12:18:00 Breakfast
2011-11-29 12:19:01 2011-11-29 12:22:00 Grooming
2011-11-29 12:22:38 2011-11-29 12:24:59 Spare_Time/TV
2011-11-29 13:25:29 2011-11-29 13:25:32 Snack
2011-11-29 13:25:38 2011-11-29 15:12:26 Spare_Time/TV
2011-11-29 15:13:28 2011-11-29 15:13:57 Toileting
2011-11-29 15:14:33 2011-11-29 15:45:54 Lunch
I want to read the txt file with the "textscan" method, but my code is not working. I get this error message whenever i try to compile the script.
"Conversion to double from cell is not possible.
Error in Untitled (line 10)
x(i,pat)=(Data(i,pat));"
This is my code
fh=fopen('OrdonezA_ADLs.txt');
Data=textscan(fh, '%s,datenum(%s),%s,datenum(%s),%s');
fclose(fh);
n=length(Data);
P=length(Data{1});
x=zeros(n,P);
for pat=1:P
for i=1:n
x(i,pat)=(Data(i,pat));
end
end

 Risposta accettata

Try this:
Data=textscan(fh, '%s%s%s%s%s');
You may need other name-value pair arguments such as 'Delimiter', 'MultipleDelimsAsOne', CollectOutput, and others.
Also, it is best to use the size function here:
n=size(Data,1);

2 Commenti

kpl
kpl il 29 Mag 2017
Thank you very much!It worked fine!
As always, my pleasure!

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