grouping observations accordeing to string dates with empty cells
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Dear all,
I have the following matrix
[1] 'PDL12' '' [ NaN]
[1] 'PDL12' 'JF 2009' [-1.0000e-004]
[1] 'PDL12' 'MA 2009' [ -0.0330]
[1] 'PDL12' 'MJ 2009' [ -0.0268]
[1] 'PDL12' 'JA 2009' [ -0.0264]
[1] 'PDL12' 'SO 2009' [ -0.1913]
[1] 'PDL12' 'ND 2009' [ -0.0415]
[1] 'PDL12' 'JF 2010' [ -0.0168]
[1] 'PDL12' 'MA 2010' [ -0.0502]
[1] 'PDL12' 'MJ 2010' [ -0.0761]
[1] 'PDL12' 'JA 2010' [ -0.0429]
[1] 'PDL12' 'SO 2010' [ -0.0548]
[1] 'PDL12' 'ND 2010' [ -0.0173]
[1] 'PDL12' 'JF 2011' [ 0.0071]
[1] 'PDL12' 'MA 2011' [ 0.0121]
[1] 'PDL12' 'MJ 2011' [ -0.0727]
[1] 'PDL12' 'JA 2011' [ -0.1628]
[1] 'PDL12' 'SO 2011' [ 0.0056]
[2] 'PDL13' '' [ NaN]
[2] 'PDL13' 'JF 2009' [ 0.0218]
[2] 'PDL13' 'MA 2009' [ -0.0037]
[2] 'PDL13' 'MJ 2009' [ 0.0120]
[2] 'PDL13' 'JA 2009' [ -0.0027]
[2] 'PDL13' 'SO 2009' [-5.0000e-004]
[2] 'PDL13' 'ND 2009' [ -0.2818]
[2] 'PDL13' 'JF 2010' [ -0.0216]
[2] 'PDL13' 'MA 2010' [ -0.0330]
[2] 'PDL13' 'MJ 2010' [ -0.0468]
[2] 'PDL13' 'JA 2010' [ -0.1309]
[2] 'PDL13' 'SO 2010' [ -0.0318]
[2] 'PDL13' 'ND 2010' [ -0.0014]
[2] 'PDL13' 'JF 2011' [ -0.0779]
[2] 'PDL13' 'MA 2011' [ 0.0224]
[2] 'PDL13' 'MJ 2011' [ -0.0662]
[2] 'PDL13' 'JA 2011' [ -0.2187]
[2] 'PDL13' 'SO 2011' [ -0.0745]
[3] 'PDL14' '' [ NaN]
[3] 'PDL14' 'JF 2009' [ -0.0107]
As you can see the date before JF2009 is empty. I would like to group all the observations that correspond to the empty cell, then all the observations that correspond to JF2009, then all the observations that correspond to MA2009 and similarly for the years 2011 and 2011
thanks
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Risposta accettata
Andrei Bobrov
il 28 Mag 2012
try
ms = cellstr(reshape(datestr(datenum(0,1:12,1,0,0,0),'m'),2,[])');
dd = regexprep(data(:,3),ms,cellstr(('1':num2str(numel(ms)))'));
dd(cellfun('isempty',dd)) = {'0 0000'};
[id,id] = sort(datenum(dd,'mm yyyy'));
out = data(id,:);
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