Can you divide in Stata?
Note that the / tells Stata to divide. This is a good example of one of Stata’s built-in mathematical functions that can be used in the generation of new variables.
What does a red variable in Stata mean?
It’s a common mistake when importing data to accidentally make Stata think a numeric variable is a string. The values of string variables are red in the data browser (like make in this data set) so if you start seeing red where you shouldn’t you know you’ve got a problem.
What does force mean in Stata?
force allows string variables to be appended to numeric variables and vice versa, resulting in missing values from the using dataset. If omitted, append issues an error message; if specified, append issues a warning message. Remarks and examples. stata.com.
What is the difference between Egen and Gen in Stata?
generate is a fast internal command. egen is being parsed by Stata, and you can write extensions to it using Stata ado-code.
What is a string variable?
String variables — which are also called alphanumeric variables or character variables — have values that are treated as text. This means that the values of string variables may include numbers, letters, or symbols.
What does byte mean in Stata?
Here we can see that the storage type is listed as “byte.” Byte indicates that the variable is stored as an integer between -127 and 100. The default data storage type for Stata is “float.” By inquiring with Stata using the help command, we see that the float variable type is much larger relative to. byte: .
What does ## mean in Stata?
full factorial
Stata: Data Analysis and Statistical Software You can put a # between two variables to create an interaction–indicators for each combination of the categories of the variables. You can put ## instead to specify a full factorial of the variables—main effects for each variable and an interaction.
What does Egen mean 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.