Let's say I have this dataframe:
> df <- data.frame(a=c(1, 2, 3), b=c(4, 5, 6), c=c(7, 8, 9), row.names=c(100, 200, 300))
> df
a b c
100 1 4 7
200 2 5 8
300 3 6 9
>
And I want to get the row name and index name of the occurrence of 5
in this dataframe. I could do:
> paste("row:", rownames(df)[rowSums(df == 5) > 0], "column:", colnames(df)[colSums(df == 5) > 0], collapse=" ")
[1] "row: 200 column: b"
>
But I assume there is a better way.
My desired output is:
row: 200 column: b
Since 5
is located there.
Is there a better way to do this?
CodePudding user response:
You may use which
with arr.ind = TRUE
to get row and column number where 5 is present. This can be changed to row and column names.
mat <- which(df == 5, arr.ind = TRUE)
paste('row : ', rownames(df)[mat[, 1]], 'column :', colnames(df)[mat[, 2]])
#[1] "row : 200 column : b"