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Home/ Questions/Q 6821383
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Editorial Team
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Editorial Team
Asked: May 26, 20262026-05-26T21:32:20+00:00 2026-05-26T21:32:20+00:00

Here is my problem, when I want to develop a function for widespread use.

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Here is my problem, when I want to develop a function for widespread use.

dataframe1 <- data.frame(V1 = 1:10, V2 = 11:20, V3 = 21:30, V4 = 31:40)
myfun <- function (dataframe, A, B, yvar) {
                  dataframe1$A <- as.factor(dataframe$A)
                  dataframe1$B <- as.factor (dataframe$B)
                  dataframe1 <- data.frame(A = dataframe1$A, 
                  B = dataframe1$B, yvar = dataframe1$yvar)
                  print(dataframe1)
                  }

 myfun (dataframe = dataframe1, A = "V1", B= "V2", yvar = "V3")
 Error in `$<-.data.frame`(`*tmp*`, "A", value = integer(0)) :
  replacement has 0 rows, data has 10

myfun (dataframe = dataframe1, A = dataframe1$V1, 
         B= dataframe1$V2, yvar = dataframe1$V3)
Error in `$<-.data.frame`(`*tmp*`, "A", value = integer(0)) :
  replacement has 0 rows, data has 10

I would like to define using the first type of definition, where variable name argument are in “parenthesis” instead of “datafile$variablename”

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1 Answer

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  1. Editorial Team
    Editorial Team
    2026-05-26T21:32:21+00:00Added an answer on May 26, 2026 at 9:32 pm

    You simply need to not use the $ as a column selector. Instead, use [:

    dataframe[,A]
    

    or

    dataframe[,B]
    

    and so on. In your case:

    dataframe1 <- data.frame(V1 = 1:10, V2 = 11:20, V3 = 21:30, V4 = 31:40)
    myfun <- function (dataframe, A, B, yvar) {
                       dataframe1[,A] <- as.factor(dataframe[,A])
                       dataframe1[,B] <- as.factor (dataframe[,B])
                       dataframe1 <- data.frame(A = dataframe1[,A], 
                       B = dataframe1[,B], yvar = dataframe1[,yvar])
                       print(dataframe1)
                       }
    
    myfun (dataframe = dataframe1, A = "V1", B= "V2", yvar = "V3")
    
        A  B yvar
    1   1 11   21
    2   2 12   22
    3   3 13   23
    4   4 14   24
    5   5 15   25
    6   6 16   26
    7   7 17   27
    8   8 18   28
    9   9 19   29
    10 10 20   30
    
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