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

  • Then, use tapply along with c">

    How to find the row median of columns having same name in R data frame?



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

    • First of all, create a data frame 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 frame

    Let’s create a data frame as shown below −

    df<-
    data.frame(x=rpois(25,1),x=rpois(25,10),x=rpois(25,5),y=rpois(25,3),y=rpois(25,5),y=rp ois(25,5),check.names=FALSE)
    df

    Output

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

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

    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 frame df −

    df<-
    data.frame(x=rpois(25,1),x=rpois(25,10),x=rpois(25,5),y=rpois(25,3),y=rpois(25,5),y=rp ois(25,5),check.names=FALSE)
    t(apply(df,1, function(x) tapply(x,colnames(df),median)))

    Output

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