• First of all, create a data.table with some columns having same name.

  • Then, use tapply al">

    How to find the row median of columns having same name in data.table object in R?



    To find the row median of columns having same name in data.table object in R, we can follow the below steps −

    • First of all, create a data.table with some columns having same name.

    • Then, use tapply along with colnames and median function to find the row median of columns having same name.

    Example

    Create the data.table

    Let’s create a data.table as shown below −

    library(data.table)
    DT<-
    data.table(x=rpois(25,5),y=rpois(25,10),x=rpois(25,5),y=rpois(25,2),x=rpois(25,4),y=rpo is(25,10),check.names=FALSE)
    DT

    Output

    On executing, the above script generates the below output(this output will vary on your system due to randomization) −

         x  y  x y x  y
    1:   4  15 6 1 6  9
    2:   4  11 3 3 4  9
    3:   1  6  8 2 2 12
    4:   6  9  4 2 6 12
    5:   8 10  1 1 2  9
    6:   6  9  7 4 2  4
    7:   8  8  3 2 1  8
    8:   2 10  7 2 5 16
    9:   7  5  8 1 5 9
    10:  5 11  9 5 7 10
    11:  3  4  1 5 6  6
    12: 10 10  6 3 6 13
    13:  7  5  4 2 3  8
    14:  4  9  0 2 5 14
    15:  6 11  8 2 4 10
    16:  6  8  3 3 7  7
    17:  7  8  4 2 1  8
    18:  8  9  7 4 3 15
    19:  4 16  5 1 3  7
    20:  7 15  4 1 3 12
    21:  6 10  5 1 1  9
    22:  4 11  3 0 2  9
    23:  4 12  4 3 4 17
    24:  4  8  2 1 5  6
    25:  5  9  1 0 2  5
         x  y  x y x  y

    Find the row median of columns having same name

    Using tapply along with colnames and median function to find the row median of columns having same name in data.table object DT −

    library(data.table)
    DT<-
    data.table(x=rpois(25,5),y=rpois(25,10),x=rpois(25,5),y=rpois(25,2),x=rpois(25,4),y=rpo is(25,10),check.names=FALSE)
    t(apply(DT,1, function(x) tapply(x,colnames(DT),median)))

    Output

          x y
    [1,]  6 9
    [2,]  4 9
    [3,]  2 6
    [4,]  6 9
    [5,]  2 9
    [6,]  6 4
    [7,]  3 8
    [8,]  5 10
    [9,]  7 5
    [10,] 7 10
    [11,] 3 5
    [12,] 6 10
    [13,] 4 5
    [14,] 4 9
    [15,] 6 10
    [16,] 6 7
    [17,] 4 8
    [18,] 7 9
    [19,] 4 7
    [20,] 4 12
    [21,] 5 9
    [22,] 3 9
    [23,] 4 12
    [24,] 4 6
    [25,] 2 5
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