You can save statistics from your analysis to the worksheet so that you can use them in other analyses, graphs, and macros. Minitab stores the selected statistics in the column that you enter. For more details on any statistics, go to Interpret all statistics and graphs for Factor Analysis.
Statistics that you can store
- Enter storage columns for the factor loadings. You must enter one column for each factor. If you specified a rotation, Minitab stores the values for the rotated factor loadings. You can enter these columns on the Options subdialog box.
- Enter storage columns for the factor coefficients. You must enter one column for each factor.
- Enter storage columns for the scores. You must enter one column for each factor. Minitab calculates factor scores by multiplying factor score coefficients and your data after they have been centered by subtracting means.
Scores must be calculated from raw data. Therefore, you cannot calculate and store scores if you select Use matrix on the Options subdialog box.
- Rotation matrix
- Enter a location to store the matrix used to rotate the initial loadings. You may enter a matrix name or number (for example, M3). If L is the matrix of initial loadings and M is the rotation matrix, LM is the matrix of rotated loadings.
- Residual matrix
- Enter a location to store the residual matrix. The residual matrix for the initial and rotated solutions are the same. You may enter a matrix name or number (for example, M3). The residual matrix is (A-LL'), where A is the correlation or covariance matrix and L is a matrix of loadings.
- Enter a column to store the eigenvalues of the matrix that was factored. The eigenvalues are stored in numerical order from largest to smallest. To store eigenvalues, you must do the initial extraction using principal components and store the corresponding eigen vector matrix. You can plot the eigenvalues to obtain a Scree plot.
- Eigenvector matrix
- Enter a matrix to store the eigenvectors of the matrix that was factored. Each vector is stored as a column of the matrix, in the same order as the eigenvalues.