stata2.key

是一个经济学管理应用软件 很难找的 但是经济学学生又必须用到

.e [MV] multivariate
.c manual
.t Introduction to multivariate commands
.k multiv-ariate anal-ysis stat-istics command-s intro-duction
.o @multivariate@

.e [MV] biplot
.c manual
.t Biplots
.k stat-istics multiv-ariate anal-ysis
.k biplot-s
.k graph-s graph-ics graph-ing plot-s
.k obs-ervations var-iables arrow-s
.k colu-mns row-s dim-ensions distance-s
.o @biplot@

.e [MV] ca
.c manual
.t Simple correspondence analysis
.k ca-mat
.k stat-istics est-imation est-imates multiv-ariate anal-ysis command-s
.k simple corres-pondence conting-ency tabl-es
.k dim-ensions colu-mns row-s distance-s chi-squared sq-uared chi-2 2
.k dual scaling recipr-ocal averaging matr-ix matr-ices
.o @ca@

.e [MV] ca postestimation
.c manual
.t Postestimation tools for ca and camat
.k ca-biplots biplot-s caproj-ection estat coor-dinates distance-s inertia-s
.k profile-s summ-arize tabl-es pred-ictions dim-ensions
.k corres-pondence anal-ysis
.k stat-istics est-imation est-imates multiv-ariate
.k post post-estimations ca-mat
.k graph-s graph-ics graph-ing plot-s
.k chi-squared sq-uared chi-2 2
.o @ca postestimation@

.e [MV] canon
.c manual
.t Canonical correlations
.k canon-ical stat-istics est-imation est-imates command-s
.k load-ings orthog-onalize
.k corr-elate corr-elations factor-s anal-ysis multiv-ariate dim-ensions
.k wilk-s roy-s lambda roy-s pillai-s lawley-s hotel-lings trace root-s
.k like-lihood ratio-s test-s test-ing
.o @canon@

.e [MV] canon postestimation
.c manual
.t Postestimation tools for canon
.k stat-istics est-imation est-imates multiv-ariate anal-ysis
.k post-estimations post pred-ictions
.k canon-ical estat corr-elations load-ings
.o @canon postestimation@

.e [MV] cluster
.c manual
.t Introduction to cluster analysis commands
.k clus-ters clus-tering anal-ysis stat-istics similar-ity coef-ficients
.k similar-ities dissimilar-ity dissimilar-ities meas-ures distance-s bina-ry
.k proxi-mity proxi-mities
.k hier-archical link-age sing-lelinkage comp-letelinkage
.k avg ave-ragelinkage k-means k-medians
.k mean-s med-ians dend-rograms tree-s
.k partit-ions group-s agglom-erative continu-ous multiv-ariate
.k weight-ed waverage-linkage centroid-linkage median-linkage
.k ward-slinkage stop-ping
.k unweight-ed rule-s calinski harabasz duda hart je index indic-es num-bers
.k intro-duction hamann cluster-mat
.o @cluster@

.e [MV] clustermat
.c manual
.t Introduction to clustermat commands
.k cluster-mat clu-sters clus-tering anal-ysis
.k stat-istics multiv-ariate
.k dissimilar-ity dissimilar-ities matr-ix matr-ices
.k link-age comp-letelinkage sing-lelinkage ave-ragelinkage avg
.k weight-ed waverage-linkage centroid-linkage med-ians median-linkage
.k ward-slinkage hier-archical intro-duction
.o @clustermat@

.e [MV] cluster averagelinkage
.c manual
.t Average linkage cluster analysis
.k clus-ters clus-tering anal-ysis stat-istics hier-archical link-age
.k ave-ragelinkage avg group-s agglom-erative dend-rograms tree-s
.k multiv-ariate cluster-mat
.o @cluster averagelinkage@

.e [MV] cluster centroidlinkage
.c manual
.t Centroid linkage cluster analysis
.k clus-ters clus-tering anal-ysis stat-istics hier-archical link-age
.k centroid-linkage dend-rograms tree-s group-s agglom-erative multiv-ariate
.k upgmc unweight-ed cluster-mat
.o @cluster centroidlinkage@

.e [MV] cluster completelinkage
.c manual
.t Complete linkage cluster analysis
.k clus-ters clus-tering anal-ysis stat-istics hier-archical link-age
.k comp-letelinkage dend-rograms tree-s agglom-erative group-s
.k multiv-ariate cluster-mat
.o @cluster completelinkage@

.e [MV] cluster dendrogram
.c manual
.t Dendrograms for hierarchical cluster analysis
.k clus-ters clus-tering anal-ysis stat-istics hier-archical link-age sing-le
.k comp-lete avg ave-rage dend-rograms tree-s graph-s graph-ics graph-ing
.o @cluster dendrogram@

.e [MV] cluster generate
.c manual
.t Gen. summary & grouping var. from a cluster analysis
.k clus-ters clus-tering anal-ysis hier-archical link-age sing-le comp-lete
.k avg ave-rage dend-rograms tree-s agglom-erative partit-ions group-s
.k group-ing gen-erate var-iables data-sets set-s manage-ment
.o @cluster generate@

.e [MV] cluster kmeans
.c manual
.t Kmeans cluster analysis
.k clus-ters clus-tering anal-ysis stat-istics k-means mean-s partit-ions
.k group-s multiv-ariate
.o @cluster kmeans@

.e [MV] cluster kmedians
.c manual
.t Kmedians cluster analysis
.k clus-ters clus-tering anal-ysis stat-istics k-medians med-ians group-s
.k partit-ions multiv-ariate
.o @cluster kmedians@

.e [MV] cluster medianlinkage
.c manual
.t Median linkage cluster analysis
.k clus-ters clus-tering anal-ysis stat-istics hier-archical link-age
.k med-ians median-linkage group-s agglom-erative dend-rograms tree-s
.k multiv-ariate gower-s weight-ed centroid wpgmc cluster-mat
.o @cluster medianlinkage@

.e [MV] cluster notes
.c manual
.t Place notes in cluster analysis
.k clus-ters clus-tering anal-ysis util-ity note-s data-sets set-s manage-ment
.k attach describ-e
.o @cluster notes@

.e [MV] cluster programming subroutines
.c manual
.t Add cluster analysis routines
.k prog-ramming prog-rams clus-ters clus-tering anal-ysis subroutine routine
.k gen-erate func-tions dend-rograms tree-s stop-ping rule-s
.o @cluster programming@

.e [MV] cluster programming utilities
.c manual
.t Cluster analysis programming utilities
.k prog-ramming prog-rams clus-ters clus-tering anal-ysis util-ity note-s
.k data-sets set-s manage-ment attach query set delete parse-distances l1 l2
.k similar-ity coef-ficients similar-ities dissimilar-ity dissimilar-ities
.k proxi-mity proxi-mities
.k meas-ures distance-s bina-ry euclidean abs-olute value-s max-imum canberra
.k minkowski angular angle cos-ine corr-elations
.k match-ed match-es match-ing jaccard russell rao
.k hamman dice rogers tanimoto sneath sokal ochiai yule anderberg kulczynski
.k gower-s pearson city-block block manhat-tan linf-inity czekanowski sorenson
.k var-iables char charac-teristics hamann
.o @cluster programming@

.e [MV] cluster singlelinkage
.c manual
.t Single linkage cluster analysis
.k clus-ters clus-tering anal-ysis stat-istics hier-archical link-age
.k sing-lelinkage dend-rograms tree-s group-s agglom-erative
.k multiv-ariate cluster-mat
.o @cluster singlelinkage@

.e [MV] cluster stop
.c manual
.t Cluster analysis stopping rules
.k clus-ters clus-tering anal-ysis stat-istics stop-ping rule-s
.k calinski harabasz duda hart je index indic-es num-bers group-s cluster-mat
.o @cluster stop@

.e [MV] cluster utility
.c manual
.t List, rename, use, and drop cluster analyses
.k clus-ters clus-tering anal-ysis util-ity list-s drop display dir rename-var
.k use
.o @cluster utility@

.e [MV] cluster wardslinkage
.c manual
.t Ward's linkage cluster analysis
.k clus-ters clus-tering anal-ysis stat-istics hier-archical link-age
.k ward-slinkage dend-rograms tree-s group-s agglom-erative multiv-ariate
.k ward-linkage meth-ods hgroup min-imums variance-s cluster-mat
.o @cluster wardslinkage@

.e [MV] cluster waveragelinkage
.c manual
.t Weighted average linkage cluster analysis
.k clus-ters clus-tering anal-ysis stat-istics hier-archical link-age
.k ave-ragelinkage avg group-s agglom-erative dend-rograms tree-s
.k multiv-ariate weight-ed wpgma cluster-mat
.o @cluster waveragelinkage@

.e [MV] factor
.c manual
.t Factor analysis
.k factor-s
.k stat-istics est-imation est-imates multiv-ariate command-s
.k factor-mat matr-ix matr-ices
.k princ-ipal compon-ents anal-ysis
.k reliab-ility iter-ated communal-ity max-imum like-lihood communal-ities
.k eigen-values eigen-vectors specifici-ty load-ings horst patt-erns
.k reconstruct-ion uniq-ueness model-s
.o @factor@

.e [MV] factor postestimation
.c manual
.t Postestimation tools for factor and factormat
.k estat anti factor-s common kmo resid-uals rotate-compare smc structure
.k summ-arize pred-ictions load-ings
.k stat-istics est-imation est-imates multiv-ariate anal-ysis
.k factor-s factor-mat post-estimations post
.k image matr-ix matr-ices variance-s cov-ariances corr-elations
.k ic information criterion schwartz schwarz akaike-s bayes-ian aic bic
.k kaiser meyer olkin rotate rotation-s scor-e scor-ing bartlett-s
.k loading-plot score-plot scree-plot
.o @factor postestimation@

.e [MV] hotelling
.c manual
.t Hotelling's T-squared generalized means test
.k hotel-lings stat-istics tsq-uared sq-uared
.k equal-ity test-s test-ing stud-entst t-tests distrib-utions mean-s
.k hyp-othesis hyp-otheses ave-rages match-ed match-es match-ing pair-s
.k multiv-ariate anal-ysis
.o @hotelling@

.e [MV] manova
.c manual
.t Multivariate analysis of variance and covariance
.k manova stat-istics multiv-ariate anal-ysis variance-s anova est-imation
.k est-imates cov-ariances mancova manocova anocova ancova cat-egorical
.k linear reg-ressions model-s mean-s cell-s split plot-s interact-ions
.k indica-tor var-iables dum-my dum-mies factori-al design-s block-ed | *
.k class main nest-ed effect-s way n-way unbal-anced bal-anced test-s test-ing
.k partial one-way two-way repeat-ed meas-ures rand-omized fix-ed mixed
.k latin sq-uares least ordinary ols within between factor-s wilk-s
.k lambda roy-s pillai-s lawley-s hotel-lings trace like-lihood ratio-s root-s
.k largest tsq-uared sq-uared general-ized command-s
.o @manova@

.e [MV] manova postestimation
.c manual
.t Postestimation tools for manova
.k pred-ictions
.k stat-istics est-imation est-imates multiv-ariate anal-ysis
.k manova post-estimations post
.k manovatest test-s test-ing hyp-othesis hyp-otheses
.k wilk-s lambda roy-s largest pillai-s lawley-s hotel-lings trace
.k like-lihood ratio-s root-s
.o @manova postestimation@

.e [MV] matrix dissimilarity
.c manual
.t Compute similarity or dissimilarity measures
.k stat-istics multiv-ariate anal-ysis
.k prog-rams prog-ramming matr-ices matr-ix
.k similar-ity similar-ities dissimilar-ity dissimilar-ities
.k proxi-mity proxi-mities
.k meas-ures coef-ficients distance-s bina-ry continu-ous
.k obs-ervations var-iables
.k l l1 l2 euclidean abs-olute value-s max-imum
.k canberra minkowski angular angle cos-ine corr-elations
.k match-ed match-es match-ing jaccard kulczynski gower-s pearson
.k russell rao hamman dice antidice rogers tanimoto
.k sneath sokal ochiai yule anderberg
.k city-block block manhat-tan linf-inity czekanowski sorenson
.k sq-uared l2squared lpow-er power-s
.o @matrix dissimilarity@

.e [MV] mds
.c manual
.t Multidimensional scaling for two way data
.k mds
.k stat-istics est-imation est-imates multiv-ariate anal-ysis command-s
.k metr-ic multi-dimensional dimen-sional dim-ensions scale-d scaling
.k similar-ity similar-ities dissimilar-ity dissimilar-ities
.k proxi-mity proxi-mities
.k meas-ures coef-ficients distance-s bina-ry continu-ous
.k eigen-values euclidean
.o @mds@

.e [MV] mds postestimation
.c manual
.t Postestimation tools for mds, mdslong, and mdsmat
.k pred-ictions estat mds-configurations mds-shepard
.k stat-istics est-imation est-imates multiv-ariate anal-ysis
.k mds mdsmat mdslong post post-estimations
.k multi-dimensional dimen-sional dim-ensions scale-d scaling
.k config-urations corr-elations pair-wise dissimilar-ity dissimilar-ities
.k distance-s resid-uals quantile-s kruskal stress summ-arize shepard
.o @mds postestimation@

.e [MV] mdslong
.c manual
.t Multidimensional scaling of proximity data in long format
.k mds mdslong
.k stat-istics est-imation est-imates multiv-ariate anal-ysis
.k metr-ic multi-dimensional dimen-sional dim-ensions scale-d scaling
.k similar-ity similar-ities dissimilar-ity dissimilar-ities distance-s
.k proxi-mity proxi-mities
.k eigen-values euclidean
.o @mdslong@

.e [MV] mdsmat
.c manual
.t Multidimensional scaling of proximity data in a matrix
.k mds mdsmat matr-ix matr-ices
.k stat-istics est-imation est-imates multiv-ariate anal-ysis
.k metr-ic multi-dimensional dimen-sional dim-ensions scale-d scaling
.k similar-ity similar-ities dissimilar-ity dissimilar-ities distance-s
.k proxi-mity proxi-mities
.k eigen-values euclidean
.o @mdsmat@

.e [MV] measure option
.c manual
.t Option for similarity and dissimilarity measures
.k stat-istics multiv-ariate anal-ysis
.k cluster mds opt-ions
.k similar-ity similar-ities dissimilar-ity dissimilar-ities
.k proxi-mity proxi-mities
.k meas-ures coef-ficients distance-s bina-ry continu-ous
.k l l1 l2 euclidean abs-olute value-s max-imum
.k canberra minkowski angular angle cos-ine corr-elations
.k match-ed match-es match-ing jaccard kulczynski gower-s pearson
.k russell rao hamman dice antidice rogers tanimoto
.k sneath sokal ochiai yule anderberg
.k city-block block manhat-tan linf-inity czekanowski sorenson
.k sq-uared l2squared lpow-er power-s
.o @measure_option@

.e [MV] pca
.c manual
.t Principal component analysis
.k stat-istics est-imation est-imates multiv-ariate command-s
.k pca pcamat princ-ipal compon-ents anal-ysis
.k eigen-values eigen-vectors load-ings patt-erns matr-ix matr-ices
.k multiv-ariate reconstruct-ion uniq-ueness model-s
.o @pca@