Factor Analysis Properties
Properties
| Base |
Gets an index containing the keys of the columns
that are required inputs to the model.
(Inherited from Model) |
| Communalities | Gets a vector containing the proportion of the common variance of each variable associated with the factors. |
| Computed |
Gets whether the model has been computed.
(Inherited from Model) Obsolete. |
| Cumulative | Gets a vector containing the variance explained by each factor. |
| Data |
Gets an object that contains all the data used as input to the model.
(Inherited from Model) |
| Eigenvalues | Gets a vector containing the eigenvalues corresponding to the factors. |
| Extraction | Gets or sets the method for extracting factors. |
| Extraction | Gets or sets the maximum number of iterations allowed for factor extraction. |
| Extraction | Gets or sets the difference in successive approximations of the communalities that signals convergence when extracting the factors. |
| Factor | Gets a matrix that contains the correlations between the factors. |
| Factor | Gets or sets a value that specifies how the number of factors is determined. |
| Factor | Gets the matrix of factor score coefficients. |
| Factor | Gets or sets the method for computing factor score coefficients. |
| Factor | Gets or sets the threshold value for automatically determining the number of factors to be extracted. |
| Factor | Gets the matrix that transforms the original factors to the rotated factors. |
| Features |
Gets a matrix that contains the features.
(Inherited from TransformationModel<T>) |
| Fitted |
Gets whether the model has been computed.
(Inherited from Model) |
| Initial | Gets a vector containing the initial values of the communalities. |
| Input |
Gets the schema for the features used for fitting the model.
(Inherited from Model) |
| IsOblique | Gets whether the factor rotation is oblique. |
| IsOrthogonal | Gets whether the factor rotation is orthogonal. |
| Loadings | Gets the matrix of unrotated factor loadings. |
| Max |
Gets or sets the maximum degree of parallelism enabled by this instance.
(Inherited from Model) |
| Method | Gets or sets whether the factor analysis is based on a correlation matrix or a covariance matrix. |
| Model |
Gets the collection of variables used in the model.
(Inherited from Model) |
| Number | Gets or sets the number of factors to be extracted. |
| Number |
Gets the number of observations the model is based on.
(Inherited from Model) |
| Parallel |
Gets or sets an object that specifies how the calculation of the model should be parallelized.
(Inherited from Model) |
| Pattern | Gets the matrix of contributions of each factor to the variance of each variable. |
| Promax | Gets or sets the exponent used in promax rotation. |
| Rotated | Gets the matrix of rotated factor loadings, the correlations between factors and variables after rotation. |
| Rotation | Gets or sets the method for rotating factors. |
| Rotation | Gets or sets the maximum number of iterations allowed for factor rotation. |
| Rotation | Gets or sets the threshold value of the convergence measure for factor rotations. |
| Standardize | Gets or sets whether the variables should be standardized before the clustering is computed. |
| Status |
Gets the status of the model, which determines which information is available.
(Inherited from Model) |
| Structure | Gets the matrix of the correlations between factors and variables. |
| Supports |
Indicates whether the model supports case weights.
(Inherited from Model) |
| Uniqueness | Gets a vector containing the proportion of the common variance of each variable not associated with the factors. |
| Variance | Gets a vector containing the variance explained by each factor. |
| Weights |
Gets or sets the actual weights.
(Inherited from Model) |