How do I replace missing data with other values?

Hi guys,

I have some radiation data taken every 30 mins I’m trying to use, the dataset occasionally has some missing values, labelled ‘NaN’.

I have a series of equations which can be used to estimate the radiation (won’t mention them here as they’re not relevant to the problem) in case of missing collected data. I want to use the estimated values to replace any ‘NaN’ encountered.

My raw radiation data is called ‘radi’.

My code so far is:

if isempty(radi)

    % LONG SERIES OF EQUATIONS
Rn=%some terms classified in equations;
else 
Rn=radi;
  end

This hasn’t worked however and Rn values are just being taken as radi values, and when radi shows ‘NaN’, Rn just comes out with no value on a graph, instead of taking the estimated Rn I want it to take.

I have tried isnan instead of isempty and this creates a new issue to do with vector sizes.

Long story short, is there a better method to replace my missing data (NaN) with the equations so that my radiation data set is full?

Thanks, Rob

Answer 1

[Catalytic]

isnan is the correct way to detect and replace nans.

Rn=radi;
Rn(isnan(radi))=  ---- something else  ----

[Robert Earles]

Will give this a go, thank you!