function m1_compareRadStats

load m1_comparePrr2Hr

tMin = min([tEd1;tEd2;tEs1;tEs2;tLu1;tLu2]);
tMax = max([tEd1;tEd2;tEs1;tEs2;tLu1;tLu2]);

t = tMin:1/24:tMax;

Ed1_ = interp1(tEd1, Ed1, t);
Ed2_ = interp1(tEd2, Ed2, t);
Es1_ = interp1(tEs1, Es1, t);
Es2_ = interp1(tEs2, Es2, t);
Lu1_ = interp1(tLu1, Lu1, t);
Lu2_ = interp1(tLu2, Lu2, t);

% 1. Mark night time data with NaN's
% 2. Will need a corr coef between each data type
%    a. snip out all NaN's first
%	  b. Use CorrCoef on each column of data (corrcoef(Lu1_(:,1), Lu2_(:,2)))
%    c. Look at cifferent time sections. Beware that the specprr data has numerous bad spots.


disp('  ');