given NA values fill them with the final non-na value

fill_forward(x)

Arguments

x	A numeric vector of values

Details

Works very well in context of dplyr to carry out last-observation-carried-foward for different individuals. It will NOT replace leading NA's

Examples

fill_forward(c(1.0, NA, 2))
#> [1] 1 1 2
fill_forward(c(NA, 1, NA, 2))
#> [1] NA  1  1  2
library(dplyr)
df <- data_frame(id = c(1, 1, 2, 2), obs = c(1.2, 4.8, 2.5, NA))
df %>% group_by(id) %>% mutate(obs_locf = fill_forward(obs))
#> # A tibble: 4 x 3
#> # Groups:   id [2]
#>      id   obs obs_locf
#>   <dbl> <dbl>    <dbl>
#> 1     1   1.2      1.2
#> 2     1   4.8      4.8
#> 3     2   2.5      2.5
#> 4     2  NA        2.5