Generate a matrix of statistical relationships between outcome and predictor variables. Returns unadjusted and FDR-adjusted results plus corresponding dot-matrix plots.
Usage
PlotMiningMatrix(
Data,
OutcomeVars,
PredictorVars,
Covariates = NULL,
Relabel = TRUE,
Parametric = TRUE
)Arguments
- Data
A data frame.
- OutcomeVars
Outcome variables (typically numeric, e.g., biomarker-by-batch columns).
- PredictorVars
Predictor variables (covariates to scan).
- Covariates
Optional adjustment covariates.
- Relabel
Whether to use variable labels instead of names.
- Parametric
If TRUE uses Pearson; if FALSE uses Spearman and non-parametric ANOVA where relevant.