Microarray One Channel Regression Store Options
See Also
This dialog allows you to save results from a one channel analysis of variance. These results are saved when an analysis is run and should be specified before running an analysis.

Save

After checking the appropriate boxes, you need to type names for the data structures into the corresponding fields. The table below indicates the type of structures formed for each item.
IDstext The list of probes/gene identifiers to index the results.
Residualsmatrix The residuals from the fitted regression model will be saved in a matrix of this name. The units in the model will be in the columns of the matrix and there will be one row for each probe.
Fitted valuesmatrix The fitted values for the fitted regression model will be saved in a matrix of this name. The units in the model will be in the columns of the matrix and there will be one row for each probe.
Estimatesmatrix The estimates for each model term will be saved in a matrix of this name. The model terms will be in the columns of the matrix and there will be one row for each probe.
Standard Errors of Estimatesmatrix The standard errors of the estimates for each model term will be saved in a matrix of this name. The model terms will be in the columns of the matrix and there will be one row for each probe.
T-values of Estimatesmatrix The T-values (i.e. the estimate divided by its standard error) of the estimates for each model term will be saved in a matrix of this name. The model terms will be in the columns of the matrix and there will be one row for each probe.
T-Probabilities of Estimatesmatrix The probability of the T-values of the estimates for each model term will be saved in a matrix of this name. The model terms will be in the columns of the matrix and there will be one row for each probe.
Degrees of Freedompointer The degrees of freedom for each treatment will be saved in unnamed variates pointed to by this pointer. These are stored in unnamed variates for each treatment term which are pointed to by this pointer.
Sums of Squarespointer The sums of squares for each treatment will be saved in unnamed variates pointed to by this pointer. These are stored in unnamed variates for each treatment term which are pointed to by this pointer.
Mean Squarespointer The mean of squares (i.e. the sums of squares divided by its degrees of freedom) for each model term will be saved in unnamed variates pointed to by this pointer.
Residual DFvariate The residual degrees of freedom of the regression model fitted.
Residual Sums of Squaresvariate The residual sums of squares of the regression model fitted.
Residual Mean Squaresvariate The residual mean squares (i.e. the sums of squares divided by its degrees of freedom) of the regression model fitted.
Total DFvariate The total degrees of freedom will be saved in a variate of this name.
Total Sum of Squaresvariate The total sum of squares will be saved in a variate of this name.
Total Mean Squaresvariate The total mean of squares (i.e. the total sum of squares divided by the total degrees of freedom) will be saved in a variate of this name.
Variance Ratiopointer The variance or F ratio (i.e. the model term mean squares divided by the residual mean squares) for each model term will be saved in unnamed variates pointed to by this pointer.
Probability of VRpointer The probability of a variance ratio (i.e. F statistic) being more extreme than the observed the F ratio for each model term will be saved in unnamed variates pointed to by this pointer.

Display in Spreadsheet

The saved results will also be displayed within a new spreadsheet window.

Action Buttons

OKSave the store settings and close the dialog.
CancelClose the dialog without making any changes.

See Also