I have a climate time series with missing Dates (not missing values). For example:
n = 15
full.dates = seq(Sys.Date(), by = 'day', length = n)
serie.dates = full.dates[c(1:10, 12, 15)] # missing 11, 13, 14
y = rnorm(n)
require(zoo)    
serie = zoo(y, serie.dates)
How can i 'fill' (using interpolation) these missing points, given the 'full.dates' vector? Thanks!
Merge with an "empty" object that has all the dates you want, then use na.approx (or na.spline, etc.) to fill in the missing values.
x <- merge(serie, zoo(,seq(start(serie),end(serie),by="day")), all=TRUE)
x <- na.approx(x)
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