Regulate a series using the constant value method
Transform an irregular time series in a regular time series, or fill gaps in regular time series using the constant value method
regconst(x, y=NULL, xmin=min(x), n=length(x),
deltat=(max(x) - min(x))/(n - 1), rule=1, f=0)x |
a vector with time in the irregular series. Missing values are allowed |
y |
a vector of same length as |
xmin |
allows to respecify the origin of time in the calculated regular time series. By default, the origin is not redefined and it is equivalent to the smallest value in |
n |
the number of observations in the regular time series. By default, it is the same number than in the original irregular time series (i.e., |
deltat |
the time interval between two observations in the regulated time series |
rule |
the rule to use for extrapolated values (outside of the range in the initial irregular time series) in the regular time series. With |
f |
coefficient giving more weight to the left value ( |
This is the simplest, but the less powerful regulation method. Interpolated values are calculated according to existing observations at left and at right as: x[reg] = x[right]*f + x[left]*(f-1), with 0 < f < 1.
An object of type 'regul' is returned. It has methods print(), summary(), plot(), lines(), identify(), hist(), extract() and specs().
This function uses approx() for internal calculations
Frédéric Ibanez (ibanez@obs-vlfr.fr), Philippe Grosjean (phgrosjean@sciviews.org)
data(releve) reg <- regconst(releve$Day, releve$Melosul) plot(releve$Day, releve$Melosul, type="l") lines(reg$x, reg$y, col=2)
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