Examples of using Eigenvalues in English and their translations into Portuguese
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Colloquial
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Official
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Medicine
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Financial
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Ecclesiastic
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Ecclesiastic
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Computer
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Official/political
An Assistant dialog to simplify calculating of Eigenvalues.
Listeigvals should be set to a list similar to the output eigenvalues.
The analysis resulted in five factors with eigenvalues greater than 1, also supported by the scree plot analysis.
the values of the Eigenvalues and the internal consistency confirm that the instrument has an appropriate internal structure.
independent of the number of eigenvalues used, but requires sufficient small time steps for calculation.
given a family of eigenvalues, is it possible to find the form of the equations whose eigenvalues they are?
Eigenvalues calls the function solve to find the roots of the characteristic polynomial of the matrix.
The existence of multiple eigenvalues forced by symmetry is shown,
Function: eigenvalues(M) Function:
generating a problem of nonlinear eigenvalues.
The other flags(see eigenvalues and eigenvectors) have the same effects since similaritytransform calls the other functions in the package
Factor analysis privileged dimensions 1 and 2, with eigenvalues of 0.224 and 0.189.
The following criteria were utilized in the confirmation of the number of factors: 1 eigenvalues>1; 2 exclusion of factor loads.
Community relations(explaining 38.1% of variance) and relationships at school(explaining 17.1% of the variance), all with eigenvalues greater than 1.
which supposes that factors with eigenvalues< 1 should not be retained.
it is generally not possible to exclude lower eigenvalues from the analysis and determine higher eigenvalues at the same time.
The total factor variance and the eigenvalues obtained by factor analysis are reported in Table 1.
are also eigenspaces of\(B\), but the eigenvalues of the matrix\(B\) are the inverses of the eigenvalues of\A\.
which consists of placing an eigenvalues graph against a number of items present.
five factors were identified with eigenvalues greater than one eigenvalues: 6.53, 1.81, 1.31, 1.12 and 1.02.