Hello, I'm seeing a strange dplyr error using group_by with backticked variables that have spaces. [X-post on SO: https://stackoverflow.com/questions/52921846/dplyr-nse-dplyrgroup-by-returns-error-from-variables-with-spaces/52921953?noredirect=1#comment92753287_52921953]
I have the below data frame:
> df_spread
# A tibble: 10 x 5
`Property ID` year commodity unit
<dbl> <chr> <chr> <chr>
1 63154 1997 U3O8 lbs
2 35020 1997 U3O8 lbs
3 68077 1997 U3O8 lbs
4 68074 1997 U3O8 lbs
5 68075 1997 U3O8 lbs
6 68076 1997 U3O8 lbs
7 66349 1997 U3O8 lbs
8 54791 1997 U3O8 lbs
9 63065 1997 U3O8 lbs
10 63063 1997 U3O8 lbs
I want to group this by ID, but I see an error because my variable name contains spaces, which is usually handled in dplyr functions by using backticks. Why instead does it record extra backticks?
> df_spread %>% group_by(`Property ID`, year, commodity, unit)
Error in grouped_df_impl(data, unname(vars), drop) :
Column ``Property ID`` is unknown
Why does the above not work while the below, assigning a different variable name without spaces to the same backticked variable, works?
> df_spread %>% group_by(Prop = `Property ID`, year, commodity, unit)
# A tibble: 10 x 6
# Groups: Prop, year, commodity, unit
`Property ID` year commodity unit Prop
<dbl> <chr> <chr> <chr> <dbl>
1 63154 1997 U3O8 lbs 63154
2 35020 1997 U3O8 lbs 35020
3 68077 1997 U3O8 lbs 68077
4 68074 1997 U3O8 lbs 68074
5 68075 1997 U3O8 lbs 68075
6 68076 1997 U3O8 lbs 68076
7 66349 1997 U3O8 lbs 66349
8 54791 1997 U3O8 lbs 54791
9 63065 1997 U3O8 lbs 63065
10 63063 1997 U3O8 lbs 63063
addtl info:
str(df_spread)
Classes ‘tbl_df’, ‘tbl’ and 'data.frame': 10 obs. of 5 variables:
$ Property ID: num 63154 35020 68077 68074 68075 ...
$ year : chr "1997" "1997" "1997" "1997" ...
$ commodity : chr "U3O8" "U3O8" "U3O8" "U3O8" ...
$ unit : chr "lbs" "lbs" "lbs" "lbs" ...
$ nonzero : num 0 0 0 0 0 0 0 0 0 0 ...
I'm not entirely sure what's going on, but my R version is 3.5.1 and dplyr version 0.7.6
EDIT: Nevermind, solved it by upgrading to dplyr_0.7.99.9000. Don't know why this occurred and would be interested in hearing relevant context, but not urgent and feel free to delete this thread!