📄 y_coccov.hlp
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{smcl}
{p 0 4}
{help contents:Top}
> {help y_dm:Data management}
> {help y_creating:Creating and changing variables}
{bind:> {bf:Other variable creation and changing commands}}
{p_end}
{hline}
{title:Help and category listings}
{p 4 8 4}
{bf:{help y_recoding:Recoding}}{break}
change 1->2, 2->4, 3->1, ...; code and recode missing values, ...;
and recoding string variables to numeric when you stored
"1", "23", ... as strings rather than numbers
{p 4 8 4}
{bf:{help y_impsmooth:Imputing, smoothing, splines, & polynomials}}{break}
fill in missing values by interpolation, extrapolation, best-subset
regression; lowess smoothing; splines; fractional polynomials; ...
{p 4 8 4}
{bf:{help y_vstats:Create variables containing statistics}}{break}
variables containing means, percentiles, ...
{p 4 8 4}
{bf:{help range:Numerical ranges}}{break}
values from {it:a} to {it:b};
{p 4 8 4}
{bf:{help dydx:Derivatives and Integrals}}{break}
numerical derivatives and integrals
{p 4 8 4}
{bf:{help corr2data:Create dataset with specified correlation structure}}{break}
what to do when all you have are correlations
{p 4 8 4}
{bf:{help drawnorm:Draw sample from multivariate normal distribution}}{break}
draw sample with desired means and covariance
{title:Related categories}
{p 4 8}
{help y_dm:Data management}
> {bf:{help y_reorg:Data reorganization}}
{p_end}
{hline}
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