#TOSTRING STATA HOW TO#

The destring command is useful in a sense that it does not convert data to missing observations. The following code creates a new variable numvar destring strvar, ignor('#error' '#na' '*') gen( numvar) We can specify these in the ignore option. The above tables shows that there are three non-numeric variables in our dataset. tabulate strvar if missing(real( strvar)) Suppose that the above code comes up with a list of the following non-numeric characters. Suppose that our variable strvar contains non-numeric values tabulate strvar if missing(real( strvar )) We can list all non-numeric characters using the tabulate command and the real() function. *Now destring the two variables destring price, replace ignore(',') 1.2 List all non-numeric characters See the following example: *First create a dummy data

In such cases, we can use the ignore(“,”) option, which tells Stata that the given character i.e. If there are non-numeric characters in our dataset, destring command will show an error non-numeric characters foundįor example, our data might have comma separators, therefore, destring will generate the above error. *Now destring the two variables destring price, replace destring return, replace 1. Here is an example: *First create a dummy data input str15(price return) With this command, we can either generate a new variable or replace the existing one.

The destring command might be the first choice for converting string variables to numeric if we have a limited number of non-numeric characters. Let’s start with the destring command first. If a numeric variable is stored as a string variable in Stata, we have several ways to convert them to numeric variables.

#TOSTRING STATA HOW TO#

In this post, I show how to convert string variables to numeric in Stata.

Stata codes for event study methodology.

The implied cost of capital (ICC) | GLS model | Stata | Gebhardt et al.Paid Help – Frequently Asked Questions (FAQs).

Tostring stata