Check out na.locf in the zoo package. Here we fill in
NAs going forward and just in case there were NAs
right at the beginning we fill them in backward as well.
library(zoo)
x <- as.Date(c(NA, "2000-01-01", NA))
x2 <- na.locf(x, na.rm = FALSE)
x2 <- na.locf(x2, fromLast = TRUE, na.rm = FALSE)
gi
Dear list,
I have some problems with time-series data and missing values of time-invariant
informations like sex or the birth-date.
Assume a data (d) structure like
id birth sex year of observation
1 NA NA 2006
1 1976-01-01 male2007
1
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