Generates a design matrix for the DIABLO algorithm, based on the correlation between datasets inferred from pairwise PLS runs.
Usage
diablo_generate_design_matrix(
cormat,
threshold = 0.8,
low_val = 0.1,
high_val = 1,
y_val = 1
)Arguments
- cormat
The correlation matrix between datasets, obtained from
diablo_get_pairwise_pls_corr.- threshold
Numeric, correlation value above which datasets are considered as highly correlated (see Details). Default value is 0.8.
- low_val
Numeric, value in the design matrix for datasets that are not highly correlated. Default value is 0.1.
- high_val
Numeric, value in the design matrix for datasets that are highly correlated. Default value is 1.
- y_val
Numeric, value in the design matrix between datasets and the outcome (Y). Default value is 1.
Value
A numeric matrix, to be used as design matrix when running block.plsda,
with one row per dataset and one column per dataset.