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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/pvclust.R
\name{na_locf}
\alias{na_locf}
\title{Last Observation Carried Forward}
\source{
\url{https://stat.ethz.ch/pipermail/r-help/2003-November/042126.html}
\url{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.
}
\usage{
na_locf(x, first_na_value = 0, recursive = TRUE, ...)
}
\arguments{
\item{x}{some vector}
\item{first_na_value}{If the first observation is NA, fill it with "first_na_value"}
\item{recursive}{logical (TRUE). Should na_locf be re-run until all NA values are filled?}
\item{...}{ignored.}
}
\value{
The original vector, but with all the missing values filled by the value
before them.
}
\description{
A function for replacing each NA with the most recent non-NA prior to it.
}
\examples{
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)
\dontrun{
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
}
}
\seealso{
\link[zoo]{na.locf}
}
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