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How can I replace missing values with previous or following nonmissing values or within sequences? 1. The problems. Users often want to replace missing values by neighboring nonmissing values, particularly when observations occur in some definite order, often (but not always) a time order.
31 Ιουλ 2020 · I have imported a csv file from R into Stata and am not sure if there is a succinct way for replacing all the NA values with missing. I have tried: replace 'var'= "." if 'var'== "NA" ....... However, I have 700 variables (many of which are string) so doing this one by one is taking way too long.
This presentation focuses on how to implement two of these methods Stata. Multiple Imputation (MI) Full information maximum likelihood (FIML) Other principled methods have been developed, for example Bayesian approaches and methods that explicitely model missingness.
22 Σεπ 2023 · This column focuses on the easiest problems in which a researcher is clear, or at least highly confident, about what missing values should be instead, implying a deterministic replacement. The main tricks are copying values from observation to observation and using the ipolate command.
To change extended missing values back to numeric values, type . mvencode _all, mv(.a=98\ .b=99) This would leave sysmiss and all other extended missing values unchanged.
23 Ιουλ 2013 · Take a look at replacing missing values with neighboring values FAQ and at user-written xfill. The latter is useful for filling in static variables. It replaces missing values in a cluster with the unique non-missing value within that cluster.
Method 1: Using command replace. We can manually replace missing values with “.a ” for -999, “.b ” for -99 and .c for the rest of missing values. For example, for variable female, we can do the following: replace female = .a if female == -999. replace female = .b if female == -99. replace female = .c if female >= -3 & female < 0. list, clean .
