na_locf | R Documentation |
A function for replacing each NA with the most recent non-NA prior to it.
na_locf(x, first_na_value = 0, recursive = TRUE, ...)
x |
some vector |
first_na_value |
If the first observation is NA, fill it with "first_na_value" |
recursive |
logical (TRUE). Should na_locf be re-run until all NA values are filled? |
... |
ignored. |
The original vector, but with all the missing values filled by the value before them.
https://stat.ethz.ch/pipermail/r-help/2003-November/042126.html https://stackoverflow.com/questions/5302049/last-observation-carried-forward-na-locf-on-panel-cross-section-time-series
This could probably be solved MUCH faster using Rcpp.
na.locf
na_locf(c(NA, NA))
na_locf(c(1, NA))
na_locf(c(1, NA, NA, NA))
na_locf(c(1, NA, NA, NA, 2, 2, NA, 3, NA, 4))
na_locf(c(1, NA, NA, NA, 2, 2, NA, 3, NA, 4), recursive = FALSE)
## Not run:
# library(microbenchmark)
# library(zoo)
# microbenchmark(
# na_locf = na_locf(c(1, NA, NA, NA, 2, 2, NA, 3, NA, 4)),
# na.locf = na.locf(c(1, NA, NA, NA, 2, 2, NA, 3, NA, 4))
#) # my implementation is 6 times faster :)
#microbenchmark(
# na_locf = na_locf(rep(c(1, NA, NA, NA, 2, 2, NA, 3, NA, 4), 1000)),
# na.locf = na.locf(rep(c(1, NA, NA, NA, 2, 2, NA, 3, NA, 4), 1000))
# ) # my implementation is 3 times faster
## End(Not run)
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