R-Error: data_frames can only contain 1d atomic vectors and lists

Question

I am trying to apply the dplyr package and calculate the number of entries for each card number in a dataset with the following function:

freq<- function(data){
  data <- complete.dupremoved[order(-complete.dupremoved$SUMMA),]
  aggregate(count ~., data=transform(complete.dupremoved,count=1), length)
  complete.dupremoved$count <-complete.dupremoved[complete.dupremoved$KLIENDIKAARDINR,]
  sample <- count(complete.dupremoved, vars = "KLIENDIKAARDINR")
  complete.dupremoved<- merge(complete.dupremoved,sample, by ="KLIENDIKAARDINR")
  return(complete.dupremoved)
}

The error shown is Error: data_frames can only contain 1d atomic vectors and lists.

When I do the : lapply(complete.dupremoved,class)

Some columns are numeric , factors , character , integer. Any solution how to solve this? Also the debugger gives the following:

function (x) 
{
    stopifnot(is.list(x))
    if (length(x) == 0) {
        x <- list()
        class(x) <- c("tbl_df", "tbl", "data.frame")
        attr(x, "row.names") <- .set_row_names(0)
        return(x)
    }
    names_x <- names2(x)
    if (any(is.na(names_x) | names_x == "")) {
        stop("All columns must be named", call. = FALSE)
    }
    ok <- vapply(x, is_1d, logical(1))
    **if (any(!ok)) {
        stop("data_frames can only contain 1d atomic vectors and lists", 
            call. = FALSE)**
    }
    n <- unique(vapply(x, NROW, integer(1)))
    if (length(n) != 1) {
        stop("Columns are not all same length", call. = FALSE)
    }
    class(x) <- c("tbl_df", "tbl", "data.frame")
    attr(x, "row.names") <- .set_row_names(n)
    x
}

Answer 1

The reason for this error is that the function is creating a dataframe as a variable within the original dataframe. This is the line that does that:

complete.dupremoved$count <-complete.dupremoved[complete.dupremoved$KLIENDIKAARDINR,]

In future you can check your dataframe with this to identify the class of each variable:

sapply(your_df_here, class)

The main question aside, I hope you were able to calculate entries by factor. There are several existing options out there.