WebFeb 7, 2024 · You could of course type the rename command as many times as you need (in this case it would be twice), but you can automate this task using a foreach loop: foreach … WebFeb 27, 2012 · Stata breaks the list into elements wherever it sees spaces, so this list contains three elements: red, blue, and green. The left curly bracket ( {) marks the beginning of the loop and must be at the end of the foreach command. The right curly bracket ( }) marks the end of the loop and must go on its own line.
areg — Linear regression with a large dummy-variable set - Stata
WebFeb 5, 2024 · I need to run a regression over increasing sample sizes. I know how to get it to run for a specific sample size: reg y x1 x2 in 1/10. but I need it to do it for sample size 10, then 11, then 12, etc. up to 1000. I tried the following: foreach var in varlist x1 x2 { reg y x1 x2 in 10/_n+1 } but that did not work. WebYou can use the by function to create variables within groups, but in order to use by you must sort before hand. Thus, we recommend to use bysort instead. Bysort and gen/egen bysort combined with gen/egen is probably one of the most useful command combinations when cleaning and creating outcomes. elizabeth blackwell institute bristol
stata - Loop through regression? - Stack Overflow
WebOct 14, 2016 · Here we introduce another command -local-, which is utilized a lot with commands like foreach to deal with repetitive tasks that are more complex. The -local- command is a way of defining macro in Stata. A Stata macro can contain multiple elements; it has a name and contents. Consider the following two examples: WebThe foreachcommand loops through a list while the forvaluesloops through numbers. The first line of the code above is very similar to how you would create a macro. The line begins with the command foreachfollowed by the name I want to use to represent a group (exactly the same as a macro). Webi’s plus one for y) is sufficiently small—meaning that it can fit in a Stata matrix (see[R] Limits). If you have more variables than can fit in a Stata matrix, regress will not work. areg provides a way of obtaining estimates of —but not the i’s—in these cases. The effects of the dummy variables are said to be absorbed. Example 1 force balanced flex tend