Nothing
"permtest" <-
function (x, y = NULL)
{
if (is.null(y)) {
mx <- mean(x)
n <- length(x)
t.obs <- mx/sqrt(var(x)/n)
N <- 2^n
mat <- matrix(NA, nrow = N, ncol = n)
for (j in 1:n) {
m <- 2^j
mat[, j] <- rep(c(rep(-1, N/m), rep(+1, N/m)), m/2)
}
d <- as.numeric(mat %*% x/n)
k <- length(which(d > mx))
return(c(N = N, t.obs = t.obs, "t-Dist-P(>t)" = 1 - pt(t.obs,
n - 1), "PermDist-P(>t)" = k/N))
}
else {
x <- x[!is.na(x)]
y <- y[!is.na(y)]
nx <- length(x)
ny <- length(y)
S2x <- sum(x^2) - sum(x)^2/nx
S2y <- sum(y^2) - sum(y)^2/ny
t.stat <- function(x, y) {
(mean(x) - mean(y))/sqrt((S2x + S2y)/(nx + ny - 2) *
(1/nx + 1/ny))
}
f.stat <- function(x, y) {
(S2x/(nx - 1))/(S2y/(ny - 1))
}
t.obs <- t.stat(x, y)
f.obs <- f.stat(x, y)
z <- c(x, y)
n <- nx + ny
mat <- subsets(n, nx)
N <- nrow(mat)
kt <- kf <- 0
for (i in 1:nrow(mat)) {
x <- z[mat[i, ]]
y <- z[-mat[i, ]]
S2x <- sum(x^2) - sum(x)^2/nx
S2y <- sum(y^2) - sum(y)^2/ny
if (t.obs < t.stat(x, y))
kt <- kt + 1
if (f.obs < f.stat(x, y))
kf <- kf + 1
}
return(c(N = N, t.obs = t.obs, "t-Dist:P(>t)" = 1 - pt(t.obs,
nx + ny - 2), "PermDist:P(>t)" = kt/N, F.obs = f.obs,
"F-Dist:P(>F)" = 1 - pf(f.obs, nx - 1, ny - 1), "PermDist:P(>F)" = kf/N))
}
}
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