I am filtering out data due to the degree of Standard deviation. Once I determine which rows of data are good, I good back to the orginal data set and try to NaN the rows which are 'bad'.
threshold = 0.0013;
filtRows = find(relSD1 < threshold);
figure(6)
plot(time, f_fluxxcorredit,'.-k');
hold on;
plot(time(filtRows), f_fluxxcorredit(filtRows),'.r');
legend('all data', 'filtered data');
xlabel('Time, hrs');
ylabel('Flux mmol m^{-2} day^{-1}');
shg
How would I get a vector like f_fluxxcorredit (201 points) but with the bad data NaN? Filtrow is showing the good points 112 of them and the others should be NaN of f_fluxxcorredit.
