Need to figure out how to find the average.

This is what I have so far:

load ('sensorData.mat', 'measurements')
A = measurements;
k=0;
for elevationEstimates = nanmean (A,2)
    if isnan(elevationEstimates(1:150))
        k=k+1;
    end
end
elevationEstimates

The problem is, I don't know how to get the sensor to read NaN as zero so that it doesn't affect the average of a certain row.

This is only an excerpt of the data. For example, if I wanted to find the average of row 8, how do I only calculate the 2 numbers for the average? The instructions explain it better than I do.

[per isakson]

"The problem is, I don't know how to get the sensor to read NaN as zero so that it doesn't affect the average of a certain row. " Zero would affect the average! Better:

>> nanmean([nan,3,1]) 
ans =
     2

Answer 1

[Walter Roberson]

You are intended to loop over the rows for this task, not process the entire data first.

Extract a row. Take nanmean of the row. Is the mean nan? If so increment a counter; if the counter is high enough, quit; if it is not high enough, use the previous mean. If the mean was not nan use this mean and update the notion of previous mean and reset the counter of consecuative nan.

[Olivia Gilliam]

How do I loop over the rows? Instead of the entire data set?

[Walter Roberson]

nrows = size(A,1);
for row = 1 : nrows
    A(row,:)
end