These are present by default as rownames when you create a data.frame.
R> df = data.frame('a' = rnorm(10), 'b' = runif(10), 'c' = letters[1:10])
R> df
a b c
1 0.3336944 0.39746731 a
2 -0.2334404 0.12242856 b
3 1.4886706 0.07984085 c
4 -1.4853724 0.83163342 d
5 0.7291344 0.10981827 e
6 0.1786753 0.47401690 f
7 -0.9173701 0.73992239 g
8 0.7805941 0.91925413 h
9 0.2469860 0.87979229 i
10 1.2810961 0.53289335 j
and you can access them via the rownames command.
R> rownames(df)
[1] "1" "2" "3" "4" "5" "6" "7" "8" "9" "10"
if you need them as numbers, simply coerce to numeric by adding as.numeric, as in as.numeric(rownames(df)).
You don't need to add them, as if you know what you are looking for (say item df$c == 'i', you can use the which command:
R> which(df$c =='i')
[1] 9
or if you don't know the column
R> which(df == 'i', arr.ind=T)
row col
[1,] 9 3
you may access the element using df[9, 'c'], or df$c[9].
If you wanted to add them you could use df$rownumber <- as.numeric(rownames(df)), though this may be less robust than df$rownumber <- 1:nrow(df) as there are cases when you might have assigned to rownames so they will no longer be the default index numbers (the which command will continue to return index numbers even if you do assign to rownames).
Perhaps with dataframes one of the most easy and practical solution is:
data = dplyr::mutate(data, rownum=row_number())
This is probably the simplest way:
data$rownumber = 1:dim(data)[1]
It's probably worth noting that if you want to select a row by its row index, you can do this with simple bracket notation
data[3,]
vs.
data[data$rownumber==3,]
So I'm not really sure what this new column accomplishes.
Simply:
data$rownumber = 1:nrow(Data)
Source: Stackoverflow.com