This function grabs the largest peak of the histogram
get.largest.mode(x, y, verbose = TRUE, ...)
values of midpoints from hist
values of counts from hist
print diagnostic output
arguments to be passed to smooth_hist
Value of x that is the largest peak
data(t2.voi.hist)
system.time({
y = t2.voi.hist$counts
x = t2.voi.hist$mids
x = x[!is.na(y)];
y = y[!is.na(y)]
# 30 used for speed of example
nawm_peak = get.largest.mode(x, y, k=30)
plot(t2.voi.hist, border="red")
abline(v=nawm_peak)
})
#> Smoothing Histogram
#> Smoothing Derivative
#> user system elapsed
#> 1.054 0.034 1.088