Hi everyone,
I done a matrix with 'single' vectors. The problem is that when I do the matrix, matlab changes the values of each vector. For example, the first column represents the years and when I insert the Years vector in the matrix the value changes from 1985 to 0.0198500, this for each column. I'm attacching my code and the matrix below. Is there a way to do a matrix without that matlab changes the values?
Data_table = table(time_date, time2, Hs_buoy, Tm_buoy, Dm_buoy);HH = single(cell2mat(Data_table.time2(:,:)));YYMMDD = vertcat(time_date{:});Years = single(YYMMDD.Year);Months = single(YYMMDD.Month);Days = single(YYMMDD.Day);Hs_tot = cell2mat(Data_table.Hs_buoy(:,:));Tm_tot = cell2mat(Data_table.Tm_buoy(:,:));Dm_tot = cell2mat(Data_table.Dm_buoy(:,:));data_matrix = [Years Months Days HH Hs_tot Tm_tot Dm_tot];
and then the matrix:
data_matrix = 1472×7 single matrix 1.0e+05 * 0.0198500 0.0000100 0.0000100 0 0.0000088 0.0000426 0.0028428 0.0198500 0.0000100 0.0000100 0.6000000 0.0000073 0.0000370 0.0027256 0.0198500 0.0000100 0.0000100 1.2000000 0.0000072 0.0000359 0.0027142 0.0198500 0.0000100 0.0000100 1.8000000 0.0000062 0.0000360 0.0027929 0.0198500 0.0000100 0.0000200 0 0.0000039 0.0000345 0.0027787 0.0198500 0.0000100 0.0000200 0.6000000 0.0000027 0.0000305 0.0027401 0.0198500 0.0000100 0.0000200 1.2000000 0.0000027 0.0000247 0.0026128 0.0198500 0.0000100 0.0000200 1.8000000 0.0000030 0.0000262 0.0025042 0.0198500 0.0000100 0.0000300 0 0.0000031 0.0000269 0.0024614 0.0198500 0.0000100 0.0000300 0.6000000 0.0000032 0.0000271 0.0024086 0.0198500 0.0000100 0.0000300 1.2000000 0.0000050 0.0000291 0.0023772 0.0198500 0.0000100 0.0000300 1.8000000 0.0000047 0.0000325 0.0023501 0.0198500 0.0000100 0.0000400 0 0.0000039 0.0000314 0.0023373 0.0198500 0.0000100 0.0000400 0.6000000 0.0000037 0.0000297 0.0023687 0.0198500 0.0000100 0.0000400 1.2000000 0.0000045 0.0000297 0.0023972 0.0198500 0.0000100 0.0000400 1.8000000 0.0000051 0.0000331 0.0023486 0.0198500 0.0000100 0.0000500 0 0.0000047 0.0000336 0.0023129
Thank you so much.
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