My data frame has a variable of class list (the str output gives: $ X2 :List of 125). I would like to group by unique values in this list to preform some aggregate functions, but when I use group_by in dplyr I get:
Error in eval(expr, envir, enclos) :
cannot group column X2, of class 'list':
A.) Is there a way to group by unique values in a list? Either using dplyr or some other grouping function? B.) Is there a way to convert the list variable to a factor variable with levels? I have no need for the variable X2 to be a list, thats just how the values were generated. But I do need to be able to group_by unique values.
The data frame I am using has the following structure:
'data.frame': 125 obs. of 5 variables:
$ MOV : int -69 -68 -67 -63 -62 -60 -59 -56 -55 -54 ...
$ X : int 1 2 3 4 5 6 7 8 9 10 ...
$ Count: int 1 1 1 1 2 1 1 1 2 1 ...
$ Perc : num 0.000179 0.000179 0.000179 0.000179 0.000358 ...
$ X2 :List of 125
Any and all help would be appreciated.
Edit: Here is the dput output:
structure(list(MOV = c(-69L, -68L, -67L, -63L, -62L, -60L), X = 1:6,
Count = c(1L, 1L, 1L, 1L, 2L, 1L), Perc = c(0.000178922884236894,
0.000178922884236894, 0.000178922884236894, 0.000178922884236894,
0.000357845768473788, 0.000178922884236894), X2 = structure(list(
range = "[ -69 , -35 )", range = "[ -69 , -35 )", range = "[ -69 , -35 )",
range = "[ -69 , -35 )", range = "[ -69 , -35 )", range = "[ -69 , -35 )"), .Names = c("range",
"range", "range", "range", "range", "range"))), .Names = c("MOV",
"X", "Count", "Perc", "X2"), row.names = c(NA, 6L), class = "data.frame")
As you already found out, it is not possible to group by X2 as a list using dplyr. So one way you could try is to convert to factor and then group by X2.
If your data.frame is called df try the following:
df$X2 <- as.factor(unlist(df$X2))
Afterwards you can use dplyr to group by any variable including X2