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confusionMatrix <- function(model = NULL, obs = NULL, pred = NULL, thresh, interval = 0.01, quant = 0, verbosity = 2, na.rm = TRUE, rm.dup = FALSE, plot = FALSE, classes = FALSE, ...) {
# version 1.2 (19 Jan 2024)
obspred <- inputMunch(model, obs, pred, na.rm = na.rm, rm.dup = rm.dup)
obs <- obspred[ , "obs"]
pred <- obspred[ , "pred"]
if (!(is.numeric(thresh) || thresh %in% modEvAmethods("getThreshold")))
stop("'thresh' must be either a numeric value between 0 and 1, or one of the options obtained with modEvAmethods('getThreshold')")
if (thresh %in% modEvAmethods("getThreshold")) thresh <- getThreshold(obs = obs, pred = pred, threshMethod = thresh, interval = interval, quant = quant, na.rm = na.rm)
obs0 <- obs == 0
obs1 <- obs == 1
pred0 <- pred < thresh
pred1 <- pred >= thresh
a <- sum(obs1 & pred1, na.rm = na.rm)
b <- sum(obs0 & pred1, na.rm = na.rm)
c <- sum(obs1 & pred0, na.rm = na.rm)
d <- sum(obs0 & pred0, na.rm = na.rm)
out <- data.frame(obs1 = c(a, c), obs0 = c(b, d))
rownames(out) <- c("pred1", "pred0")
if (plot == TRUE) {
rotate <- function(x) t(apply(x, 2, rev)) # because image() rotates the matrix, as per its help file; 'rotate' function obtained from https://stackoverflow.com/a/16497058/3447652
if (classes) {
graphics::image(x = 1:2, y = 1:2,
# z = matrix(1:4, ncol = 2, byrow = TRUE),
# col = c("orange", "royalblue", "red", "lightblue"),
z = rotate(matrix(1:4, ncol = 2, byrow = TRUE)),
col = c("royalblue", "lightblue", "orange", "red"),
axes = FALSE, xlab = "", ylab = "", ...)
} else {
graphics::image(x = 1:2, y = 1:2,
z = rotate(as.matrix(out)),
axes = FALSE, xlab = "", ylab = "", ...)
} # end if classes else
text(x = c(1, 1, 2, 2), y = c(2, 1, 2, 1), labels = as.matrix(out))
text(0.25, 1, "pred0", xpd = NA)
text(0.25, 2, "pred1", xpd = NA)
text(1, 0.25, "obs1", xpd = NA)
text(2, 0.25, "obs0", xpd = NA)
} # end if plot
out
}
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