WebNov 16, 2024 · Stata’s input command is not a solution because input does not read the data from the ado-file—it reads the data from the keyboard or the running do-file.. One … WebCreate numeric version of a string variable: list: Lists the observations: rename: Rename a variable: recode: Recode the values of a variable: notes: Apply notes to the data file: generate: Creates a new variable: replace: Replaces values for an existing variable: egen: Extended generate – has special functions that can be used when creating ...
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WebOct 21, 2024 · use sample.dta, clear tempfile month10 preserve keep if month==8 month==9 collapse value , by (year category id) gen month=10 save `month10' , replace restore append using `month10' Share Improve this answer Follow answered Oct 21, 2024 at 21:10 BB King 6,012 1 14 40 Add a comment Your Answer Webbysort combined with gen/egen is probably one of the most useful command combinations when cleaning and creating outcomes. Notice that your data set will be sorted by all the variables (including those in parenthesis) you specify But you will create new variables by only what variables you specify outside the parenthesis assertion suomeksi
stata - Adding observations with specific values for variable
WebMay 27, 2024 · The primary commands for creating and changing variables are generate (usually abbreviated gen) and replace (which, like other commands that can destroy information, has no abbreviation). gen creates new variables; replace changes the values of existing variables. Their core syntax is identical: gen variable = expression or Webegen is the extended generate and requires a function to be specified to generate a new variable. egen newvar = function (arguments) creates the new variable. Commonly used functions include but are not limited to mean (), sd (), min (), max (), rowmean (), diff (), total (), std (), group () etc. WebThere are small terminology problems here we all share, new or not so new. In particular, I'd like to urge that we refer to observations that should be in the dataset, but are not, as … la nef vaulx en velin