features | R Documentation |
A time series is characterised by a sequence of characters, indicating features of the time series itself, of its first or second derivative, steepness or level of values.
f.slope(x, y, f = 0.1, scale = c("mean", "range", "IQR", "sd", "none"))
f.curve(x, y, f = 0.1, scale = c("mean", "range", "IQR", "sd", "none"))
f.steep(x, y, f1 = 1, f2 = 0.1)
f.level(y, high = 0.8, low = 0.2)
x |
vector of time |
y |
input y values |
f |
factor defining the limit for constant ( |
f1 |
factor for the upper bound of steepness |
f2 |
factor for the lower bound of steepness |
scale |
method for internal scaling, |
high |
lower limit of high values |
low |
upper limit of low values |
For the first derivative the segment between two values is
characterised by increasing ('A'), decreasing ('B') or constant ('C') and for
the second by convex ('K'), concave ('I') or linear ('J'). For the property of
the first derivative the segment between two values is characterised
by very steep ('S'), steep ('T') or not steep ('U') or the values are divided
into high ('H'), low ('L') or values in between ('M'). Note that for
the last two cases the original values and the not increments are
standardised (to [0, 1]
).
v |
interval sequence |
LCS
, qvalLCS
data(phyto)
bbobs <- dpill(obs$t, obs$y)
n <- tail(obs$t, n = 1) - obs$t[1] + 1
obsdpill <- ksmooth(obs$t, obs$y, kernel = "normal", bandwidth = bbobs,
n.points = n)
obss <- data.frame(t = obsdpill$x, y = obsdpill$y)
obss <- obss[match(sim$t, obss$t), ]
f.slope(obss$t, obss$y)
f.curve(obss$t, obss$y)
f.steep(obss$t, obss$y, f1 = 30, f2 = 10)
f.level(obss$y)
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