I have the following R data.table:
library(data.table)
iris = as.data.table(iris)
> iris
Sepal.Length Sepal.Width Petal.Length Petal.Width Species
1 5.1 3.5 1.4 0.2 setosa
2 4.9 3.0 1.4 0.2 setosa
3 4.7 3.2 1.3 0.2 setosa
4 4.6 3.1 1.5 0.2 setosa
5 5.0 3.6 1.4 0.2 setosa
6 5.4 3.9 1.7 0.4 setosa
7 4.6 3.4 1.4 0.3 setosa
8 5.0 3.4 1.5 0.2 setosa
...
Let's say I wanted to find the row-wise maximum value by each row, only for the subset of data.table columns: Sepal.Length
, Sepal.Width
, Petal.Length
, Petal.Width
I would use the following code:
iris[, maximum_element :=max(Sepal.Length, Sepal.Width, Petal.Length, Petal.Width), by=1:nrow(iris)]
Which outputs
Sepal.Length Sepal.Width Petal.Length Petal.Width Species maximum_element
1: 5.1 3.5 1.4 0.2 setosa 5.1
2: 4.9 3.0 1.4 0.2 setosa 4.9
3: 4.7 3.2 1.3 0.2 setosa 4.7
4: 4.6 3.1 1.5 0.2 setosa 4.6
5: 5.0 3.6 1.4 0.2 setosa 5.0
For my problem, I'm actually not interested in the value, but which column the value came from, i.e. I would like the following output:
Sepal.Length Sepal.Width Petal.Length Petal.Width Species maximum_column
1: 5.1 3.5 1.4 0.2 setosa Sepal.Length
2: 4.9 3.0 1.4 0.2 setosa Sepal.Length
3: 4.7 3.2 1.3 0.2 setosa Sepal.Length
4: 4.6 3.1 1.5 0.2 setosa Sepal.Length
5: 5.0 3.6 1.4 0.2 setosa Sepal.Length
(In this case, the max. value each comes from Sepal.Length
).
How do I "retrieve" the column name with the maximum value?
Here is an option with pmax
iris[, maximum_element := do.call(pmax, .SD), .SDcols = 1:4]
and to find the column names, use max.col
on .SD
after specifying the .SDcols
as the numeric columns, i.e. columns 1 to 4
iris[,maximum_column := names(.SD)[max.col(.SD)], .SDcols = 1:4]
head(iris, 4)
# Sepal.Length Sepal.Width Petal.Length Petal.Width Species maximum_column
#1: 5.1 3.5 1.4 0.2 setosa Sepal.Length
#2: 4.9 3.0 1.4 0.2 setosa Sepal.Length
#3: 4.7 3.2 1.3 0.2 setosa Sepal.Length
#4: 4.6 3.1 1.5 0.2 setosa Sepal.Length
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