The following is an example:
| Item_Identifier | Item_Weight |
| FDP10 | 19 |
| FDP10 | |
| DRI11 | 8.26 |
| DRI11 | |
| FDW12 | 8.315 |
| FDW12 | |
The following is the one that i want to be. That is, filling NA values from the
previous Non-NA values.
| Item_Identifier | Item_Weight |
| FDP10 | 19 |
| FDP10 | 19 |
| DRI11 | 8.26 |
| DRI11 | 8.26 |
| FDW12 | 8.315 |
| FDW12 | 8.315 |
My current code data frame: train <- read.csv("Train.csv", header=T,sep =
",",na.strings = c(""," ",NA))
Some people suggest to use na.locf function but in my case, i don't have
numeric unique values in my Item_Identifier coloumn but rather it's characters.
Not sure what to solve this problem.
[[alternative HTML version deleted]]
______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
