FillDown: Fills in missing (NA) values with the previous non-missing...
In DataCombine: Tools for Easily Combining and Cleaning Data Sets

Description Usage Arguments Value Examples

Fills in missing (NA) values with the previous non-missing value

1	FillDown(data, Var)

`data`	a data frame. Optional as you can simply specify a vector with `Var`,
`Var`	the variable in `data` or a vector you would like to fill down missing (`NA`) values.

data frame

# Create fake data
id <- c('Algeria', NA, NA, NA, 'Mexico', NA, NA)
score <- rnorm(7)
Data <- data.frame(id, score)

# FillDown id
DataOut <- FillDown(Data, 'id')

## Not run: 
# Use group_by and mutate from dplyr to FillDown grouped data, e.g.:
Example <- Example %>% group_by(grouping) %>% 
             mutate(NewFilled = FillDown(Var = VarToFill))

## End(Not run)