Regulation of a series using a linear interpolation
Transform an irregular time series in a regular time series, or fill gaps in regular time series using a linear interpolation
reglin(x, y=NULL, xmin=min(x), n=length(x), deltat=(max(x) - min(x))/(n - 1), rule=1)
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 |
Observed values are connected by lines and interpolated values are obtained from this "polyline".
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 <- reglin(releve$Day, releve$Melosul) plot(releve$Day, releve$Melosul, type="l") lines(reg$x, reg$y, col=2)
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