So the below is working with the iris Example, I am trying to create a toy dataset for my real dataset, where it is not working:
library("dplyr")
#>
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#>
#> filter, lag
#> The following objects are masked from 'package:base':
#>
#> intersect, setdiff, setequal, union
#Dataframe
df <-as.data.frame(head(iris))
df
#> Sepal.Length Sepal.Width Petal.Length Petal.Width Species
#> 1 5.1 3.5 1.4 0.2 setosa
#> 2 4.9 3.0 1.4 0.2 setosa
#> 3 4.7 3.2 1.3 0.2 setosa
#> 4 4.6 3.1 1.5 0.2 setosa
#> 5 5.0 3.6 1.4 0.2 setosa
#> 6 5.4 3.9 1.7 0.4 setosa
some_names_to_remove<-list("Sepal.Length","Petal.Length")
some_names_to_remove
#> [[1]]
#> [1] "Sepal.Length"
#>
#> [[2]]
#> [1] "Petal.Length"
df_new <- select(df,
-all_of(unlist(some_names_to_remove)))
df_new
#> Sepal.Width Petal.Width Species
#> 1 3.5 0.2 setosa
#> 2 3.0 0.2 setosa
#> 3 3.2 0.2 setosa
#> 4 3.1 0.2 setosa
#> 5 3.6 0.2 setosa
#> 6 3.9 0.4 setosa
Created on 2020-12-04 by the reprex package (v0.3.0)