Thanks for taking your time to look at my problem! Am new to the forum and relatively new to R, but I'll do my best to formulate the question clearly.
I have a big set of tree sample data with an irregular number of rows per individual. In the "class" variable column (here column 2) the first row of each individual has a value (1, 2, 3 or 4) and the subsequent ones are NA. I'd like to assign the first value of each individual to the respective subsequent NA-cells (belonging to the same individual).
Reproducible example dataframe (edited):
test <- cbind(c(1, 2, 3, NA, 4, NA, NA, NA, 5, NA, 6), c(3, 4, 3, NA, 1, NA, NA, NA, 2, NA, 1))
colnames(test) <- c("ID", "class")
        ID  class
 [1,]    1    3
 [2,]    2    4
 [3,]    3    3
 [4,]   NA   NA
 [5,]    4    1
 [6,]   NA   NA
 [7,]   NA   NA
 [8,]   NA   NA
 [9,]    5    2
[10,]   NA   NA
[11,]    6    1
The result I am looking for is this:
      ID class
 [1,]  1     3
 [2,]  2     4
 [3,]  3     3
 [4,] NA     3
 [5,]  4     1
 [6,] NA     1
 [7,] NA     1
 [8,] NA     1
 [9,]  5     2
[10,] NA     2
[11,]  6     1
I copied the last solution from this topic How to substitute several NA with values within the DF using if-else in R? and tried to adapt it to my needs like this
    test2 <- as.data.frame(t(apply(test["class"], 1, function(x)
    if(is.na(x[1]) == FALSE && all(is.na(head(x[1], -1)[-1])))
    replace(x, is.na(x), x[1]) else x)))
but it gives me the error "dim(x) must have positive length". I tried many other versions and it gives me all sorts of errors, I don't even know where to start. How can I improve it?
 
     
    