📄 y_mvrels.hlp
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{smcl}
{p 0 4}
{help contents:Top}
> {help y_stat:Statistics}
> {help y_mv:Multivariate analysis}
{bind:> {bf:Multivariate relationships}}
{p_end}
{hline}
{title:Category listings}
{p 4 8 4}
{bf:{help y_mvpca:Factor & principal component analysis}}{break}
including factor, pca, rotate, rotatemat, procrustes, and postestimation
{title:Help file listings}
{p 4 8 4}
{bf:{help canon:Canonical correlation analysis}}{break}
and provides loadings
{p 4 8 4}
{bf:{help y_mvmds:Multidimensional scaling}}{break}
multidimensional scaling for two way and proximity data,
proximity data in a matrix, ...
{p 4 8 4}
{bf:{help biplot:Biplots}}{break}
displays a two-dimensional biplot of a dataset
{p 4 8 4}
{bf:{help ca:Correspondence analysis}}{break}
simple correspondence analysis of data and matrices
{p 4 8 4}
{bf:{help alpha:Cronbach's alpha}}{break}
interitem correlations or covariances and Cronbach's alpha statistic
{p 4 8 4}
{bf:{help correlate:Correlations and covariances}}{break}
correlations and covariances of variables or estimators
{p 4 8 4}
{bf:{help tetrachoric:Tetrachoric correlations}}{break}
tetrachoric correlations of binary variables
{p 4 8 4}
{bf:{help corr2data:Create dataset with specified correlation structure}}{break}
what to do when all you have are correlations
{title:Related categories}
{p 4 8}
{help y_graphics:Graphics}
> {help y_gr_draw:Graph types}
> {help y_othergraph:Other graph drawing commands}
> {bf:{help y_grmv:Multivariate}}
{p_end}
INCLUDE help ypostnote
{hline}
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