[R] HELP ME: Fill NA Values from the previous Non-NA Values

[Allan Tanaka]

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.


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