# z0 pval0 z pval slp intercept
# 0.293547633 0.769103596 0.545586542 0.585350178 0.002352941 4.636294118
y <- rep(c(4.81, 4.17, 4.41, 3.59, 5.87, 3.83, 6.03, 4.89, 4.32, 4.69), 2)
# n = 32;
# fftwtools::fftw(y, n = 32)
profvis::profvis({
for (i in 1:1e3) {
# acf.fft(y)[-1]
r_cpp <- mkTrend(y, IsPlot = FALSE)
}
})
microbenchmark::microbenchmark(
mkTrend(y, IsPlot = FALSE),
mkTrend(y, IsPlot = FALSE),
times = 1e4
)
#
# devtools::load_all()
# reprex::reprex({
# acf(lh, plot = FALSE)$acf[-1]
# acf.fft(lh)
# })
# ## Examples from Venables & Ripley
microbenchmark::microbenchmark(
acf(y, plot = FALSE)$acf[-1],
acf.fft(y)[-1],
times = 1e4
)
{
set.seed(1)
x = rnorm(100)
microbenchmark::microbenchmark(
r1 = rank(x, ties.method = "average"),
r2 = frank(x, ties.method = "average"),
frankv(x),
times = 1e2
)
}
profvis::profvis(
for (i in 1:1e3)
rank(x, ties.method = "average")
)
# acf(lh, type = "covariance")
# pacf(lh)
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