I have multiple data points that are totalized values, at times there is times a data is missed. I am trying to find a way to verify that each data point is greater than the one prior and then if missing data point is found, the data point is corrected by taking the next good reading and the prior good reading and then dividing the value by the number of missed points to get the change each data point and adding this to the prior good point to fill in the missing data. There is 3 data fields that would have to be used in the data point classification. Date, name and value. There are multiple Names in the name column.
I have been looking at R and the Library MICE to do this, but cannot figure it out.
