Description Usage Arguments Value References Examples
A DISCO-SCA procedure for identifying common and distinctive components.
1 | DISCOsca(DATA, R, Jk)
|
DATA |
A matrix, which contains the concatenated data with the same subjects from multiple blocks. Note that each row represents a subject. |
R |
Number of components (R>=2). |
Jk |
A vector containing number of variables in the concatenated data matrix. |
Trot_best |
Estimated component score matrix (i.e., T) |
Prot_best |
Estimated component loading matrix (i.e., P) |
comdist |
A matrix representing common distinctive components. (Rows are data blocks and columns are components.) 0 in the matrix indicating that the corresponding
component of that block is estimated to be zeros, and 1 indicates that (at least one component loading in) the corresponding component of that block is not zero.
Thus, if a column in the |
propExp_component |
Proportion of variance per component. |
Schouteden, M., Van Deun, K., Wilderjans, T. F., & Van Mechelen, I. (2014). Performing DISCO-SCA to search for distinctive and common information in linked data. Behavior research methods, 46(2), 576-587.
1 2 3 4 5 6 7 8 9 |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.