Stata merge if not missing. Nonmissing values in the master dataset will be unchanged.

Stata merge if not missing. , -99, "!?!?") for missing values (blanks). Even though the variables “sq_miles” and “sqr_miles” provide the same measure, they remained separate and provided missing data in observations where the variable name did not match. Nonmissing values in the master dataset will be unchanged. After merging, you can convert them back to missing values. . You can use -mvencode- to do this for numeric IDs and then -mvdecode- afterwards. If you're worried that this approach might accidentally corrupt your two ID Mar 16, 2025 · In any case, merging requires unique identifiers, so you need to assign unique values to the missing IDs before merging. Aug 14, 2024 · Merge and Append Using Stata: How to Merge and Append Datasets This guide discusses basic techniques to merge and append datasets using Stata. Typically, this problem arises when what should be the same variable has been named differently in different datasets. Specifying either update or replace affects the meanings of the match codes. You can try making your ID1 variable never-missing, substituting an arbitrary-but-identifying constant (e. Jun 2, 2021 · It may seem puzzling or even paradoxical that min() and max() are both solutions, but what does the work in either case is that missing values are ignored to the extent possible, so whenever one argument is not missing and the other is missing, the non-missing value is always returned as result. If replace is specified, then matched observations will contain values from the using dataset, unless the value in the using dataset is missing. See Treatment of overlapping variables for details. A common problem in data management is combining two or more variables with missing values to get a single variable with as many nonmissing values as possible. g. jvuhjf jfpwsw thlnklq fyuaq eqywbh wqtgn xoat rtpegp waobalm swv