Nothing
RunProceduresComp <-
function(x, parameters) {
#
# Runs MAMBAC, MAXEIG, L-Mode, MAXSLOPE analyses for comparison data.
#
# Args:
# x: Data (matrix).
# parameters: Data and program parameters (list).
#
# Returns:
# Averaged curves for each procedure performed (list).
#
b <- parameters$n.samples
MAMBAC.results <- matrix(0, nrow = b, ncol = parameters$n.cuts)
MAXEIG.results.x <- matrix(0, nrow = b, ncol = parameters$windows)
MAXEIG.results.y <- matrix(0, nrow = b, ncol = parameters$windows)
LMode.results.x <- matrix(0, nrow = b, ncol = 512)
LMode.results.y <- matrix(0, nrow = b, ncol = 512)
MAXSLOPE.results.x <- matrix(0, nrow = b, ncol = parameters$n - 1)
MAXSLOPE.results.y <- matrix(0, nrow = b, ncol = parameters$n - 1)
for (i in 1:b) {
variance <- F
while (!variance) {
x.b <- x[sample(1:parameters$n.pop, parameters$n, replace = TRUE), ]
variance <- prod(diag(var(x.b)))
}
if (parameters$MAMBAC) {
MAMBAC.results.1 <- RunMAMBAC(x.b, parameters)
MAMBAC.results[i, ] <- apply(MAMBAC.results.1, 2, mean)
}
if (parameters$MAXEIG) {
MAXEIG.results <- RunMAXEIG(x.b, parameters)
MAXEIG.results.x.1 <- MAXEIG.results$curve.x
MAXEIG.results.y.1 <- MAXEIG.results$curve.y
MAXEIG.results.x[i, ] <- apply(MAXEIG.results.x.1, 2, mean)
MAXEIG.results.y[i, ] <- apply(MAXEIG.results.y.1, 2, mean)
}
if (parameters$LMode) {
LMode.results <- RunLMode(x.b)
LMode.results.x[i, ] <- LMode.results$curve.x
LMode.results.y[i, ] <- LMode.results$curve.y
}
if (parameters$MAXSLOPE) {
MAXSLOPE.results <- RunMAXSLOPE(x.b)
MAXSLOPE.results.x.1 <- MAXSLOPE.results$curve.x
MAXSLOPE.results.y.1 <- MAXSLOPE.results$curve.y
MAXSLOPE.results.x[i, ] <- apply(MAXSLOPE.results.x.1, 2, mean)
MAXSLOPE.results.y[i, ] <- apply(MAXSLOPE.results.y.1, 2, mean)
}
}
return(list(MAMBAC = MAMBAC.results, MAXEIG.x = MAXEIG.results.x,
MAXEIG.y = MAXEIG.results.y, LMode.x = LMode.results.x, LMode.y =
LMode.results.y, MAXSLOPE.x = MAXSLOPE.results.x, MAXSLOPE.y =
MAXSLOPE.results.y))
}
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