multivariate.hlp

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{smcl}
{* 07apr2005}{...}
{cmd:help multivariate}
{hline}
{p2colset 5 33 37 2}{...}

{title:Title}

{pstd}
{hi:[MV] multivariate} {hline 2} Introduction to multivariate commands


{title:Description}

{pstd}
This overview organizes and presents the multivariate commands conceptually,
that is, according to the similarities in the functions that they perform.

{pstd}
The help files listed under the heading {bf:Cluster analysis} give an 
introduction to commands that perform cluster
analysis on variables or the similarity or dissimilarity values within a
matrix. 

{pstd}
The commands listed under the heading
{bf: Factor analysis and principal component analysis}
provide factor analysis of a correlation matrix and
principal component analysis (PCA) of a correlation or covariance
matrix.  The correlation or covariance matrix can be provided directly or
computed from variables.

{pstd}
The commands listed under the heading {bf: Rotation} provide methods for
rotating a factor or PCA solution or for rotating a matrix.  Also
provided is Procrustean rotation analysis for rotating a set of variables to
best match another set of variables.

{pstd}
The commands listed under
{bf: Multivariate analysis of variance and related techniques}
provide canonical correlation analysis, multivariate regression,
multivariate analysis of variance (MANOVA), and comparison of
multivariate means.

{pstd}
The commands listed under {bf: Multidimensional scaling and biplots} provide
classic MDS and two-dimensional biplots.  MDS can be performed
on the variables or on proximity data in a matrix or as proximity data
in long format.

{pstd}
The commands listed under {bf: Correspondence analysis} provide simple
correspondence analysis (CA) on the cross-tabulation of two
categorical variables or on a matrix.


{pstd}
{bf: Cluster analysis}

{p2col 3 33 37 2 :* {helpb cluster}}Introduction to cluster analysis
commands{p_end}
{p2col 3 33 37 2 :* {helpb clustermat}}Introduction to {cmd:clustermat}
commands{p_end}
{p2col :{helpb matrix dissimilarity}}Compute similarity or dissimilarity
measures; may be used by {cmd:clustermat}{p_end}
{p 2 6 2}* Contains a list of commands

{pstd}
{bf: Factor analysis and principal component analysis}

{p2col :{helpb factor}}Factor analysis{p_end}
{p2col :{help factor postestimation}}Postestimation tools for {cmd:factor} and
{cmd:factormat}{p_end}
{p2col :{helpb pca}}Principal component analysis{p_end}
{p2col :{help pca postestimation}}Postestimation tools for {cmd:pca} and
{cmd:pcamat}{p_end}
{p2col :{helpb rotate}}Orthogonal and oblique rotations after {cmd:factor}
and {cmd:pca}{p_end}
{p2col :{helpb screeplot}}Scree plot of eigenvalues{p_end}
{p2col :{helpb scoreplot}}Score and loading plots after {cmd:factor}
and {cmd:pca}{p_end}

{pstd}
{bf: Rotation}

{p2col :{helpb rotate}}Orthogonal and oblique rotations after
{cmd:factor} and {cmd:pca}
{p_end}
{p2col :{helpb rotatemat}}Orthogonal and oblique rotation of a Stata
matrix{p_end}
{p2col :{helpb procrustes}}Procrustes transformation{p_end}
{p2col :{help procrustes postestimation}}Postestimation tools for
{cmd:procrustes} {p_end}

{pstd}
{bf: Multivariate analysis of variance and related techniques}

{p2col :{helpb canon}}Canonical correlations{p_end}
{p2col :{help canon postestimation}}Postestimation tools for
{cmd: canon}{p_end}
{p2col :{helpb mvreg}}Multivariate regression{p_end}
{p2col :{help mvreg postestimation}}Postestimation tools for
{cmd:mvreg}{p_end}
{p2col :{helpb manova}}Multivariate analysis of variance and covariance{p_end}
{p2col :{help manova postestimation}}Postestimation tools for
{cmd:manova}{p_end}
{p2col :{helpb hotelling}}Hotelling's T-squared generalized means test{p_end}

{pstd}
{bf:Multidimensional scaling and biplots}

{p2col :{helpb mds}}Multidimensional scaling for twoway data{p_end}
{p2col :{help mds postestimation}}Postestimation tools for {cmd:mds},
{cmd:mdsmat}, and {cmd:mdslong}{p_end}
{p2col :{helpb mdslong}}Multidimensional scaling of proximity data in long format{p_end}
{p2col :{helpb mdsmat}}Multidimensional scaling of proximity data in a matrix{p_end}
{p2col :{helpb biplot}}Biplots{p_end}

{pstd}
{bf:Correspondence analysis}

{p2col :{helpb ca}}Simple correspondence analysis{p_end}
{p2col :{help ca postestimation}}Postestimation tools for {cmd:ca} and
{cmd:camat}{p_end}


{title:Also see}

{psee}
Manual: {hi:[MV] multivariate}

{psee}
Online: {helpb cluster}, 
{helpb clustermat}, 
{helpb matrix dissimilarity},
{helpb factor},
{help factor postestimation},
{helpb pca},
{help pca postestimation},
{helpb rotate},
{helpb screeplot},
{helpb scoreplot},
{helpb rotatemat},
{helpb procrustes},
{help procrustes postestimation},
{helpb canon}, {help canon postestimation},
{helpb mvreg}, {help mvreg postestimation},
{helpb manova}, {help manova postestimation},
{helpb hotelling},
{helpb mds}, {help mds postestimation},
{helpb mdslong}, {helpb mdsmat},
{helpb biplot},
{helpb ca}, {help ca postestimation}
{p_end}