Set more off stata manual#

Since you have so many variables, one thing I found sometimes useful is to use macros to group variables, especially if you can use the grouping in more than one occasion.

In pause on, which is ieboilstart s default, users can take advantage of Stata’s pause.

This is just a very simple trick to complement the real solutions by Roberto. and a Stata do-file named pyexample3.do, with the following: clear all set more off local y 1 local x1 2 local x2 3 display first parameter: y. In set more off, which is ieboilstart’s default, Stata continues running until the results are complete rather than requiring the user to manually tell Stata to resume the pause each time the results reach the end of the window. set scrollbufsize 300000 (set scrollbufsize will take effect the next time. 3 Resources for learning and using Stata In Stata, the Results window holds up to 32000 bytes of information (output). Rather, start with Stata resources: I recommend reading I'm not recommending this be your first strategy when trying to solve problems in Stata. type dofile2.do set more off log using test2, replace use auto describe summarize tabulate mpg list make price mpg log close set more on quietly temporarily close the log quietly capture log close. A Google search (with 'stata + break lines in do files') would have easily gotten you there. The set more off tells Stata not to stop the output and say -more- when output exceeds one screen-full and set more on restores the pausing when the program ends. I suspect lack of research/effort in this case.

Set more off stata manual#

That manual entry points you directly to the relevant information.

See 16.1.3 Long lines in do-files for more information. a more flexible version would have a local for the length of the expected. and Stata will check whether there are variables that may need less computer space than is provided for in the storage type and will change the storage type accordingly. help delimit (which you already knew about) states: If you have loaded your data set into memory, there is a simple way to try reducing the size of your data set.