Description Usage Arguments Value References See Also Examples
Select data using a F tests
1 | FSelect(Data, Group, target, p.adj.method = "holm", Missing.Data = "Complete")
|
Data |
A (non-empty), numeric matrix of data values |
Group |
A (non-empty), vector indicating group membership. Length(unique(Group))==2 |
target |
The number of desired traits. Target cannot be greater than the number of columns in Data |
p.adj.method |
The method used to control for false discovery. The default setting is 'holm' |
Missing.Data |
The method used to handle missing data. The default, 'Complete' will use completeData to impute missing data, setting Missing.Data='Remove' will remove all individuals with missing data. FSelect cannot handle missing data. |
FSelect returns list containing at least the following components:
Selected |
An ordered list indicating which columns were selected. |
F.Selected |
An ordered list containing the F statistics for each column indicated in Selected. |
PrF |
An ordered list containing the p values for each column indicated in Selected. |
PrNotes |
A string indicating which method was used to control for multiple comparisons |
model |
An lm object with the final model results. |
Costanza M, Afifi A (1979). Comparison of Stopping Rules in Forward Stepwise Discriminant Analysis. Journal of the American Statistical Association, pp. 777 - 78
Habbema J, Hermans J (1977). Selection of Variables in Discriminant Analysis by F - Statistics and Error Rate. Technometrics, 19(4), 487 - 493.
Jennrich R (1977). Stepwise discriminant analysis, volume 3. New York Wiley Sons.
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