ebc_AUC {evabic} | R Documentation |
Compute the Area Under the Curve for a classification.
ebc_AUC( detection_values, true, all, m = length(all), direction = c("<", ">", "<=", ">=") ) ebc_AUC_from_measures(df_measures)
detection_values |
Values corresponding to elements that are detected. Must be named. |
true |
Vector of element that are supposed to be detected. |
all |
Vector of all elements. |
m |
Total number of elements. |
direction |
With |
df_measures |
A dataframe with |
A numeric.
set.seed(42) X1 <- rnorm(50) X2 <- rnorm(50) X3 <- rnorm(50) predictors <- paste0("X", 1:3) df_lm <- data.frame(X1 = X1, X2 = X2, X3 = X3, X4 = X1 + X2 + X3 + rnorm(50, sd = 0.5), X5 = X1 + 3 * X3 + rnorm(50, sd = 0.5), X6 = X2 - 2 * X3 + rnorm(50, sd = 0.5), X7 = X1 - X2 + rnorm(50, sd = 2), Y = X1 - X2 + 3 * X3 + rnorm(50)) model <- lm(Y ~ ., data = df_lm) pvalues <- summary(model)$coefficients[-1, 4] ebc_AUC(pvalues, predictors, m = 7) df_measures <- ebc_tidy_by_threshold(pvalues, predictors, m = 7) ebc_AUC_from_measures(df_measures)