Which stata

Policy Contact. Bookstore Stata Journal Stata News. Contact us Hours of operation. Advanced search. Checkout Continue shopping. Stata: Data Analysis and Statistical Software. Whether a computer has separate processors or one processor with multiple cores makes no difference.

The maximum number of observations is 2. JavaScript seem to be disabled in your browser. You must have JavaScript enabled in your browser to utilize the functionality of this website. Which Stata is right for me. Return to menu Comparison of features Product Features. Maximum number of variables Info. So far all our output has gone to the Results window, where it can be viewed but eventually disappears. You can control how far you can scroll back, type help scrollbufsize to learn more.

To keep a permanent record of your results, however, you should log your session. When you open a log, Stata writes all results to both the Results window and to the file you specify.

To open a log file use the command. Note the use of two recommended options: text and replace. Fortunately, there is a text option to create logs in plain text format, which can be viewed in an editor such as Notepad or a word processor such as Word. An alternative is to create your log in SMCL and then use the translate command to convert it to plain text, postscript, or even PDF, type help translate to learn more about this option.

The replace option specifies that the file is to be overwritten if it already exists. This will often be the case if like me you need to run your commands several times to get them right. In fact, if an earlier run has failed it is likely that you have a log file open, in which case the log command will fail.

The solution is to close any open logs using the log close command. The problem with this solution is that it will not work if there is no log open! The way out of the catch 22 is to use. The capture keyword tells Stata to run the command that follows and ignore any errors. Use judiciously! A do file is just a set of Stata commands typed in a plain text file.

The run icon can also be used to run selected commands and does it smartly: if you have selected some text it will extend the selection to include complete lines and then will run those commands, if there is no selection it runs the entire script. Alternatively, you can use an editor such as Notepad.

Save the file using extension. Cox, of the University of Durham. You could even use a word processor such as Word, but you would have to remember to save the file in plain text format, not in Word document format. You can, of course, turn auto-correct off. Code that looks obvious to you may not be so obvious to a co-worker, or even to you a few months later. It is always a good idea to annotate your do files with explanatory comments that provide the gist of what you are trying to do.

This can be useful to annotate your output. For example you could write. There is a third type of comment used to break very long lines, as explained in the next subsection. Type help comments to learn more about comments. It is always a good idea to start every do file with comments that include at least a title, the name of the programmer who wrote the file, and the date. Assumptions about required files should also be noted. When you are typing on the command window a command can be as long as needed.

In a do-file you will probably want to break long commands into lines to improve readability. An alternative is to tell Stata to use a semi-colon instead of the carriage return at the end of the line to mark the end of a command, using delimit ; , as in this example:. Now all commands need to terminate with a semi-colon. To return to using c arriage r eturn as the delimiter use. Following the listing we comment on a couple of lines that require explanation. We start the do file by specifying the version of Stata we are using, in this case This helps ensure that future versions of Stata will continue to interpret the commands correctly, even if Stata has changed, see help version for details.

The previous version of this file read version 15, and I could have left that in place to run under version control; the results would be the same because none of the commands used in this quick tour has changed.

The clear statement deletes the data currently held in memory and any value labels you might have. We need clear just in case we need to rerun the program, as the sysuse command would then fail because we already have a dataset in memory and we have not saved it. An alternative with the same effect is to type sysuse lifeexp, clear. Twice as fast. Almost four times as fast. Even faster. Time to run logistic regression with 10 million observations and 20 covariates.

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