a <- matrix(0, 500, 3000)
a[] <- rnorm(length(a), sd = 5)
n <- c(10, 30, 100, 300, 500)
m <- c(10, 30, 100, 300, 1000, 3000)
res <- expand.grid(n, m, 0)
c <- 1
for (j in seq_along(m)) {
for (i in seq_along(n)) {
res[c, 3] <- svd(scale(a[1:n[i], 1:m[j]]), nu = 0, nv = 0)$d[1]
c <- c + 1
}
}
res[, 4] <- sqrt(res[, 1])
res[, 5] <- sqrt(res[, 2])
mylm <- lm(Var3 ~ V4 + V5, data = res)
summary(mylm)
outer(m, n, function(m, n) sqrt(m) + sqrt(n) - 1)
res
svd(scale(a[1:n[i], 1:m[j]]), nu = 0, nv = 0)$d / (sqrt(m[j]) + sqrt(n[i]) - 1)
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