How to populate complete time series with incomplete data

I have time series data with skipped periods that I wish to place onto a complete time stamp array. Rather than mm/dd format I have 'year' 'day of year (DOY)' and 'HHMM' 'Var1' like so

data=
2015  59  30  -31.42
2015  59  100  -31.21
2015  59  130  -31.06
2015  59  700  -30.9
2015  59  730  -30.38
2015  59  800  -30.07
2015  59  830  -29.83
2015  59  900  -29.69
2015  59  930  -29.53
2015  59  1000  -29.27
2015  59  1500  -26.11
2015  59  1530  -26.09

By comparing 'data' with a complete time series array 'full', I can get an 'index' value for missing periods, but I can't figure out how to bring the data (Var 1 etc) with it.

index = ismember( full(:, 3), data(:,3));

Only how to overlay the full set with NaN values for missing indices

fullindex = [index index index];
full(~fullindex)=nan;

Similar to this post http://www.mathworks.com/matlabcentral/answers/175089#answer_166928 but I can't use the 'datenum()' approach since I have DOY and different time stamps.

Answer 1

[Chad Greene]

You can get a vector in datenum format by

t = datenum(YEAR,1,DOY);

and if you'd like you can get t into year, month, day by

[year,month,day] = datevec(t);

[Colin Edgar]

You have no idea how helpful this is, thanks! I didn't understand datenum() at all apparently.

I see that if the HHMM is split up that I can have it all:

t = datenum(YEAR,1,DOY,HOUR,MINUTE,1);

Answer 2

[Colin Edgar]

Complete solution to problem in OP:

%Change input 'data' and 'full' to separate HH and MM into separate columns
%So Year, DOY, Hour, Min, Var1
%Create Var1 as NaN in 'full'
%get time vectors for 'data' and 'full'
t = datenum(Year, 1, DOY, Hour, Minute, 1);
ft = datenum(Year, 1, DOY, Hour, Minute, 1);
datadates = round(datevec(t));   
fulldates = round(datevec(ft));
[~, index] = ismember(datadates, fulldates, 'rows');
full(index,:) = data;

Thanks to Guillaume for solving the rest of this here: http://www.mathworks.com/matlabcentral/answers/184017#answer_171949