While processing data for a test there was an anomaly in the data that required removal of points from the data set. We substituted the erroneous data for "NoValue" in the data set and proceded to process the data. After the filtering and plotting the data we found that the NoValues are processed as values, which I believe are interpolated, while filtering. Is there a way to filter data and maintain the empty "NoValue" points? We can note that the data between t1 and t2 in channels X, Y, and Z are erroneous, but I would prefer that the data were NoValue in the finised data set. Basically we are able to affect the raw data set and remove the values, but all calculations are conducted on filtered data. The analysis calculations disregard NoValues, but filtering does not, is there a way to change this?
Thank you,
David