[PDF] Depending on conditions: a tutorial on the cond () function
or reproduction includes attribution to both (1) the author and (2) the Stata Journal Keywords: pr0016, cond(), functions, if command, if qualifier, generate, replace or both string, and—depending on context—variables or single values There are, not surprisingly, other ways of carrying out multiple categorization If
[PDF] 11 Creating new variables - Stata
replace for replacing the values of an existing variable It may not be abbreviated because it alters existing data and hence can be considered dangerous The
[PDF] 13 Functions and expressions - Stata
Multiple-equation models Generating lags and leads 13 9 Indicator values for levels of factor variables 13 10 1 Generating lags, leads, and differences
[PDF] Title Description Quick start - Stata
recode changes the values of numeric variables according to the rules specified If generate() is not specified, the input variables are overwritten; values
[PDF] Tabulation of Multiple Responses - Stata
width of response labels, turn on/off labels/names/values, turn on/off breaking wide tables, suppress freq table, □ Misc: generate new indicator variables,
[PDF] ECO – Stata How-to: Conditions, subsetting data - Toronto: Economics
16 sept 2019 · Advanced: Creating a dummy variable based on a condition 5 9 Advanced: Applying a command to distinct groups of observations using
[PDF] Stata: Recode and Replace - Population Survey Analysis
Topics: Generating new variables in Stata The general process to generating a new variable is simple First multiple replace statements for each new
[PDF] Speaking Stata: On structure and shape: the case of multiple
graphics, indicator variables, multiple responses, reshape, split, string functions, tabulations values other than zero before we generate a new variable
[PDF] STATA FUNDAMENTALS - Middlebury
The varlist tells Stata what variables to take this action on This is Example: Generating dummy variables that incorporate multiple values of a categorical
[PDF] Useful Stata Commands for Longitudinal Data Analysis
Be careful with missing values: == +∞, this might produce unwanted results For instance, if you want to group a variable X, this is what you get gen Xgrouped
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