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psychopdaROC Missing Data

Source: R/data_psychopdaROC_docs.R
psychopdaROC_missing.Rd

Dataset with 150 patients including missing values in predictors and class variable for testing handling of incomplete data.

Usage

psychopdaROC_missing

Format

A data frame with 150 rows and 5 variables:

patient_id

Character: Patient identifier (PT001-PT150)

diagnosis

Factor: "Disease" or "Healthy" with ~5% missing

test_a

Numeric: First test with ~8% missing

test_b

Numeric: Second test with ~7% missing

covariate

Factor: "A", "B", or "C"

Source

Generated test data for ClinicoPath package

Details

Missing data introduced randomly: diagnosis (8 missing), test_a (12 missing), test_b (10 missing). Tests proper handling of missing values in ROC analysis with appropriate warnings or exclusions.

Examples

data(psychopdaROC_missing)
psychopdaROC(data = psychopdaROC_missing,
             dependentVars = c("test_a", "test_b"),
             classVar = "diagnosis")
#> Error in psychopdaROC(data = psychopdaROC_missing, dependentVars = c("test_a",     "test_b"), classVar = "diagnosis"): argument "positiveClass" is missing, with no default