tibble::tibble(`` = 1:10)
Error: attempt to use zero-length variable name
tibble::tibble("" = 1:10)
Error: attempt to use zero-length variable name
How can I get around this? I need to have a column with precisely ""
as the name.
My first thought is that this sounds like a report-representation thing, since one generally doesn't need nameless columns while developing or working with data. In that regard, I suggest you look at changing names in whatever reporting system you might be using (knitr
, kableExtra
, etc).
Having said that, R is not going to let you define a zero-length column name, but it'll let you update it later:
setNames(data.frame(" "=1),"")
#
# 1 1
setNames(tibble(" "=1),"")
# # A tibble: 1 x 1
# ``
# <dbl>
# 1 1
This can be achieved by directly modifying the names
attribute of a tibble
, though it's not a recommended practice. Do something like this:
attr(df, "names") <- c("", "cyl", "disp", "hp", "drat", "wt", "qsec", "vs", "am", "gear", "carb")
Tested with this dataset
df <- tibble::as_tibble(mtcars)
# A tibble: 32 x 11
mpg cyl disp hp drat wt qsec vs am gear carb
<dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 21 6 160 110 3.9 2.62 16.5 0 1 4 4
2 21 6 160 110 3.9 2.88 17.0 0 1 4 4
3 22.8 4 108 93 3.85 2.32 18.6 1 1 4 1
4 21.4 6 258 110 3.08 3.22 19.4 1 0 3 1
5 18.7 8 360 175 3.15 3.44 17.0 0 0 3 2
6 18.1 6 225 105 2.76 3.46 20.2 1 0 3 1
7 14.3 8 360 245 3.21 3.57 15.8 0 0 3 4
8 24.4 4 147. 62 3.69 3.19 20 1 0 4 2
9 22.8 4 141. 95 3.92 3.15 22.9 1 0 4 2
10 19.2 6 168. 123 3.92 3.44 18.3 1 0 4 4
# ... with 22 more rows
Output
# A tibble: 32 x 11
`` cyl disp hp drat wt qsec vs am gear carb
<dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 21 6 160 110 3.9 2.62 16.5 0 1 4 4
2 21 6 160 110 3.9 2.88 17.0 0 1 4 4
3 22.8 4 108 93 3.85 2.32 18.6 1 1 4 1
4 21.4 6 258 110 3.08 3.22 19.4 1 0 3 1
5 18.7 8 360 175 3.15 3.44 17.0 0 0 3 2
6 18.1 6 225 105 2.76 3.46 20.2 1 0 3 1
7 14.3 8 360 245 3.21 3.57 15.8 0 0 3 4
8 24.4 4 147. 62 3.69 3.19 20 1 0 4 2
9 22.8 4 141. 95 3.92 3.15 22.9 1 0 4 2
10 19.2 6 168. 123 3.92 3.44 18.3 1 0 4 4
# ... with 22 more rows