I am not really sure what the warning means but I think your underlying problem
is that all your variables are factors. Did you intend the values in each
variable to be character?
data.frame': 3 obs. of 5 variables:
$ V1: Factor w/ 3 levels "Name1","Name2",..: 1 2 3
$ V2: Factor w/ 3 levels "nam1","name-1",..: 1 3 2
$ V3: Factor w/ 3 levels "nam2","nam_34",..: 1 2 3
$ V4: Factor w/ 3 levels "","nam3","nam_56": 2 3 1
$ V5: Factor w/ 2 levels "","name_78": 1 2 1
On Sunday, June 4, 2017 6:48 AM, Ashim Kapoor <ashimkap...@gmail.com> wrote:
Here is a small reproducible example:
data <-
structure(list(V1 = structure(1:3, .Label = c("Name1", "Name2",
"Name3"), class = "factor"), V2 = structure(c(1L, 3L, 2L), .Label =
c("nam1",
"name-1", "name_12"), class = "factor"), V3 = structure(1:3, .Label =
c("nam2",
"nam_34", "name-2"), class = "factor"), V4 = structure(c(2L,
3L, 1L), .Label = c("", "nam3", "nam_56"), class = "factor"),
V5 = structure(c(1L, 2L, 1L), .Label = c("", "name_78"), class =
"factor")), .Names = c("V1",
"V2", "V3", "V4", "V5"), class = "data.frame", row.names = c(NA,
-3L))
library(reshape2)
data_long <- melt(data,id.vars="V1")
Warning message:
attributes are not identical across measure variables; they will be dropped
Can someone please tell me how to correct this?
Best Regards,
Ashim
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