📄 y_expand.hlp
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{smcl}
{p 0 4}
{help contents:Top}
> {help y_dm:Data management}
> {help y_reorg:Data reorganization}
{bind:> {bf:Expand or fill in data}}
{p_end}
{hline}
{title:Help file listings}
{p 4 8 4}
{bf:{help expand:Duplicate observations}}{break}
replace each obs. with n copies, where n is equal to specified expression
{p 4 8 4}
{bf:{help obs:Increase number of observations}}{break}
adds additional observations with any variables set to missing;
can be used as first step in creating artificial data;
an odd transformation not to be confused with {help append}
{p 4 8 4}
{bf:{help fillin:Rectangularize dataset}}{break}
dataset contains observations on men and women, age categories
20-30, 30-50, 50-70, and 70+; perhaps some sex-age combinations are
missing; {cmd:fillin} fills them in placing missing values where
appropriate
{p 4 8 4}
{bf:{help expandcl:Duplicate clustered observations}}{break}
replaces each cluster in the current dataset with n copies of the
cluster
{hline}
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