How do I remove missing values in Stata?

How do I remove missing values in Stata?

Looking for missing values

1. Dropping missing data. Use Stata’s drop command, combined with a logical / conditional statement, to drop missing values.
2. drop if important_variable == “”
3. drop if important_variable == .
4. drop if missing(important_either_kind_of_variable)
5. Missing values: Some relevant documentation.

What does != Mean in Stata?

In Stata, these expressions use one or more various relational and logical operators. The operators ==, ~=, != , >, >=, <, and <= are used to test equality or inequality. The operators & | ~ and ! are used to indicate “and”, “or”, and “not”.

How do I remove missing values in R?

In order to let R know that is a missing value you need to recode it. Another useful function in R to deal with missing values is na. omit() which delete incomplete observations.

How do you handle missing data values?

7 Ways to Handle Missing Values in Machine Learning

1. Deleting Rows with missing values.
2. Impute missing values for continuous variable.
3. Impute missing values for categorical variable.
4. Other Imputation Methods.
5. Using Algorithms that support missing values.
6. Prediction of missing values.

What is the Egen command in Stata?

The Stata command egen, which stands for extended generation, is used to create variables that require some additional function in order to be generated. Examples of these function include taking the mean, discretizing a continuous variable, and counting how many from a set of variables have missing values.

What is exp required in Stata?

varlist required = exp required using required by() option required Certain commands require a varlist or another element of the language. The message specifies the required item that was missing from the command you gave. See the command’s syntax diagram.

How are missing values handled in Stata command?

As a general rule, Stata commands that perform computations of any type handle missing data by omitting the row with the missing values. However, the way that missing values are omitted is not always consistent across commands, so let’s take a look at some examples.

What causes values to be nonmissing in Stata?

Typically, this occurs when values of some variable should be identical within blocks of observations, but, for some reason, values are explicitly nonmissing within the dataset only for certain observations, most often the first.

How to replace the value of observation 2 in Stata?

To get this, it helps to know that replace always uses the current sort order: the value for observation 2 is always replaced before that for observation 3, so the replacement value for 2 may be used in calculating the replacement value for 3. . replace myvar = myvar [_n-1] if myvar >= .

When do you Drop a value in Stata?

Thus our criterion for dropping values is if _n == sum (mi (response)) . We can test this by considering the opposite case. If the panel starts with a nonmissing value, then sum (mi (response)) starts at 0, namely, below _n, which is 1, and it can never equal _n again within that panel.