Stata 11 help for canon postestimation

help canon postestimation dialog: predict estat screeplot also see: canon -------------------------------------------------------------------------------

Title

[MV] canon postestimation -- Postestimation tools for canon

Description

The following postestimation commands are of special interest after canon:

command description ------------------------------------------------------------------------- estat correlations show correlation matrices estat loadings show loading matrices estat rotate rotate raw coefficients, standard coefficients, or loading matrices estat rotatecompare compare rotated and unrotated coefficients or loadings screeplot plot canonical correlations -------------------------------------------------------------------------

The following standard postestimation commands are also available:

command description ------------------------------------------------------------------------- estat VCE and estimation sample summary estimates cataloging estimation results lincom point estimates, standard errors, testing, and inference for linear combinations of coefficients nlcom point estimates, standard errors, testing, and inference for nonlinear combinations of coefficients predict predictions, residuals, influence statistics, and other diagnostic measures predictnl point estimates, standard errors, testing, and inference for generalized predictions test Wald tests of simple and composite linear hypotheses testnl Wald tests of nonlinear hypotheses -------------------------------------------------------------------------

Special-interest postestimation commands

estat correlation displays the correlation matrices calculated by canon for varlist1 and varlist2 and between the two lists.

estat loadings displays the canonical loadings computed by canon.

estat rotate performs orthogonal varimax rotation of the raw coefficients, standard coefficients, or canonical loadings. Rotation is calculated on the canonical loadings regardless of which coefficients or loadings are actually rotated.

estat rotatecompare displays the rotated and unrotated coefficients or loadings and the most recently rotated coefficients or loadings. This command may be used only if estat rotate has been performed first.

Syntax for predict

predict [type] newvar [if] [in] , statistic* [correlation(#)]

statistic* description ------------------------------------------------------------------------- Main u calculate linear combination of varlist1 v calculate linear combination of varlist2 stdu calculate standard error of the linear combination of varlist1 stdv calculate standard error of the linear combination of varlist2 ------------------------------------------------------------------------- * There is no default statistic; you must specify one statistic from the list. These statistics are available both in and out of sample; type predict ... if e(sample) ... if wanted only for the estimation sample.

Menu

Statistics > Postestimation > Predictions, residuals, etc.

Options for predict

+------+ ----+ Main +-------------------------------------------------------------

u and v calculate the linear combinations of varlist1 and varlist2, respectively. For the first canonical correlation, u and v are the linear combinations having maximal correlation. For the second canonical correlation, specified in predict with the correlation(2) option, u and v have maximal correlation subject to the constraints that u is orthogonal to the u from the first canonical correlation, and v is orthogonal to the v from the first canonical correlation. The third and higher correlations are defined similarly. Canonical correlations may be chosen either with the lc() option to canon or by specifying the correlation() option to predict.

stdu and stdv calculate the standard errors of the respective linear combinations.

correlation(#) specifies the canonical correlation for which the requested statistic is to be computed. The default value for correlation() is 1. If the lc() option to canon was used to calculate a particular canonical correlation, then only this canonical correlation is in the estimation results. You can obtain estimates for it by either specifying correlation(1) or by omitting the correlation() option.

Syntax for estat

Display the correlation matrices

estat correlation [, format(%fmt) ]

Display the canonical loadings

estat loadings [, format(%fmt) ]

Perform orthogonal varimax rotation

estat rotate [, rawcoefs stdcoefs loadings format(%fmt) ]

Display the Rotated and unrotated coefficients or loadings

estat rotatecompare [, format(%fmt) ]

Menu

Statistics > Postestimation > Reports and statistics

Options for estat

format(%fmt) specifies the display format for numbers in matrices; see [D] format. format(%8.4f) is the default.

rawcoefs, an option for estat rotate, requests the rotation of raw coefficients. It is the default.

stdcoefs, an option for estat rotate, requests the rotation of standardized coefficients.

loadings, an option for estat rotate, requests the rotation of the canonical loadings.

Examples

Setup . sysuse auto . canon (mpg price weight) (length trunk turn)

Show loading matrices . estat loadings

Show correlation matrices . estat corr

First and second linear combinations of first varlist . predict u1, u corr(1) . predict u2, u corr(2)

Rotate standardized coefficients . estat rotate, stdcoefs

Saved results

estat correlations saves the following in r():

Matrices r(corr_var1) correlations for varlist_1 r(corr_var2) correlations for varlist_2 r(corr_mixed) correlations between varlist_1 and varlist_2

estat loadings saves the following in r():

Matrices r(canload11) canonical loadings for varlist_1 r(canload22) canonical loadings for varlist_2 r(canload21) correlations between varlist_2 and the canonical variates for varlist_1 r(canload12) correlations between varlist_1 and the canonical variates for varlist_2

estat rotate saves the following in r():

Macros r(coefficients) coefficients rotated r(class) rotation classification r(criterion) rotation criterion

Matrices r(AT) rotated coefficient matrix r(T) rotation matrix

Also see

Manual: [MV] canon postestimation

Help: [MV] canon; [MV] rotatemat, [MV] screeplot


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