| roc_bin {BioPred} | R Documentation |
AUC ROC Table for Biomarkers Associated with Binary Outcomes
Description
Computes the area under the receiver operating characteristic (ROC) curve for Biomarkers Associated with Binary Outcomes, and returns the results as a table.
Usage
roc_bin(yvar, xvars, dirs, data, yvar.display = yvar, xvars.display = xvars)
Arguments
yvar |
Binary response variable name, where 0 represents controls and 1 represents cases. |
xvars |
A vector of biomarker names. |
dirs |
A vector of directions for the biomarkers. Options are "auto", ">", or "<". - "auto" (default): automatically determines in which group the median is higher and takes the direction accordingly. - ">": indicates that the biomarkers for the control group are higher than those for the case group (controls > t >= cases). - "<": indicates that the biomarkers for the control group are lower or equal to those for the case group (controls < t <= cases). |
data |
The dataset containing the variables. |
yvar.display |
Display name for the binary response variable. |
xvars.display |
Display names for the biomarkers. |
Value
A table containing the AUC values for each biomarker.