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Time Series MT 2.1
How can I delete all observations containing a missing value?
I have a matrix of observations and I would like to, in some cases, remove all of the rows in which there is a missing value for any of the variables. What is the easiest way to do this in GAUSS?
GAUSS has a function named ‘packr’ for exactly this purpose. The procedure name is short for “pack rows”. If you have a matrix ‘A’ with missing values:
newA = packr(A);
‘newA’ will be a copy of the original matrix ‘A’, but with all rows that contained a missing value removed.