| n.extrema | R Documentation |
Computes the number of extrema and zero-crossings for different groups of data, by their id or separated by NA values
n.extrema( xy, id = NULL, use.names = TRUE, bound = FALSE, local = FALSE, zc = TRUE )
xy |
signal or decomposed signal |
id |
the id for different groups. If any NA value is in xy, it will also separate two groups of data |
use.names |
whether to use the names in id |
bound, local, zc |
parameters to feed to |
a list of the number of minima ($n.min), maxima ($n.max), and, if zc = TRUE, zero-crossings ($n.cross)
set.seed(42)
n <- 600
t <- seq_len(n)
p1 <- 30
p2 <- 240
xy <- (1 + 0.6 * sin(t*2*pi/p2)) * sin(t*2*pi/p1) + 2 * sin(t*2*pi/p2) +
rnorm(n, sd = 0.5)
xy <- xy - mean(xy)
inter_dt <- round(runif(length(xy), min = 0.5, max = 1.5),1)
dt <- cumsum(inter_dt)
dec <- extricate(xy, dt, nimf = 7, sifting = 10,
repl = 1, comb = 40, factor_noise = 10,
speak = TRUE)
integrity(xy, dec)
parsimony(dec)
n.extrema(dec$m, dec$mode)
plot_emd(dec, select = c(6,8,9), pdf = FALSE, adapt.axis = TRUE)
## Not run:
plot_emd(dec, li = list(v = 0), adapt.axis = TRUE, dir = tempdir())
## End(Not run)
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