Lookup ambiguity in data-expressions

@JohnMount commented on Sep 23, 2018, 2:35 PM UTC:

dplyr::select() returns a wrong column, should probably throw a "no such column/value" style exception.

library("dplyr")
packageVersion("dplyr")

    ## [1] '0.7.6'

packageVersion("rlang")

    ## [1] '0.2.2'

packageVersion("tidyselect")

    ## [1] '0.2.4'

y <- "x"

dxy <- data.frame(x = 1, y = 2)
dx <- data.frame(x = 1) 

# returns column x (correct)
dx %>%
 select(y)

    ##   x
    ## 1 1

# returns column y (incorrect)
dxy %>%
 select(y)

    ##   y
    ## 1 2

This issue was moved by romainfrancois from tidyverse/dplyr#3851.

@romainfrancois commented on Sep 24, 2018, 7:35 AM UTC:

This is the documented behavior. Columns have priority in dxy %>% select(y) so the y column is selected. There is no y in dx so y is evaluated (to "x").

This is in essence, tidyselect semantics, I guess what you describe is [ standard evaluation semantics.

[krlmlr]

This was previously discussed in #49, with the resolution to keep the behavior. But that issue didn't include the example here:

library(tidyselect)

# Dangerous: two way to interpret
x <- "y"
vars_select("x", x)
#>   x 
#> "x"
vars_select("x", x:y)
#> Error in is_character(x, encoding = encoding, n = 1L): object 'y' not found
vars_select("x", -x)
#> named character(0)
vars_select("y", x)
#>   y 
#> "y"
vars_select("y", x:y)
#>   y 
#> "y"
vars_select("y", -x)
#> named character(0)


# Safe
vars_select("x", !!x)
#> Error: Unknown column `y` 
#> Backtrace:
#>  ─tryCatch(...)
#>  ─vars_select("x", !!x)
#>  ─vars_select_eval(.vars, quos) /home/kirill/git/R/tidyselect/R/vars-select.R:118:2
#>  ─map_if(ind_list, is_character, match_strings, names = TRUE) /home/kirill/git/R/tidyselect/R/vars-select.R:236:2
#>  ─map(.x[sel], .f, ...) /tmp/RtmpqZVXSG/R.INSTALL62801d434702/purrr/R/map.R:112:2
#>  ─.f(.x[[i]], ...) /tmp/RtmpqZVXSG/R.INSTALL62801d434702/purrr/R/map.R:104:2
#>  ─bad_unknown_vars(vars, unknown) /home/kirill/git/R/tidyselect/R/vars-select.R:272:4
vars_select("x", (!!x):y)
#> Error: Unknown column `y` 
#> Backtrace:
#>  ─tryCatch(...)
#>  ─"y":y
#>  ─match_strings(x) /home/kirill/git/R/tidyselect/R/vars-select.R:243:4
#>  ─bad_unknown_vars(vars, unknown) /home/kirill/git/R/tidyselect/R/vars-select.R:272:4
vars_select("x", -!!x)
#> Error: Unknown column `y` 
#> Backtrace:
#>  ─tryCatch(...)
#>  ─-"y"
#>  ─match_strings(x) /home/kirill/git/R/tidyselect/R/vars-select.R:257:4
#>  ─bad_unknown_vars(vars, unknown) /home/kirill/git/R/tidyselect/R/vars-select.R:272:4
vars_select("y", !!x)
#>   y 
#> "y"
vars_select("y", (!!x):y)
#>   y 
#> "y"
vars_select("y", -!!x)
#> named character(0)

# Correct (but why is the error message misleading?)
x <- rlang::sym("y")
vars_select("x", !!x)
#> Error in .f(.x[[i]], ...): object 'y' not found
vars_select("x", (!!x):y)
#> Error in is_character(x, encoding = encoding, n = 1L): object 'y' not found
vars_select("x", -!!x)
#> Error in is_character(x): object 'y' not found
vars_select("y", !!x)
#>   y 
#> "y"
vars_select("y", (!!x):y)
#>   y 
#> "y"
vars_select("y", -!!x)
#> named character(0)

^{Created on 2018-09-24 by the reprex package (v0.2.1.9000)}

For now the easiest remedy might be to give an appropriate warning in the documentation, and refer to select(!!x), select(one_of()) or select_at(vars()) for programming.

[lionel-]

This type of variable lookup in selection contexts now triggers a message:

vars <- c("cyl", "disp")
mtcars %>% dplyr::select(vars) %>% head()
#> Note: Selecting non-column variables is brittle.
#> ℹ If the data contains `vars` it will be selected instead.
#> ℹ Use `all_of(vars)` to silence this message.
#>                   cyl disp
#> Mazda RX4           6  160
#> Mazda RX4 Wag       6  160
#> Datsun 710          4  108
#> Hornet 4 Drive      6  258
#> Hornet Sportabout   8  360
#> Valiant             6  225

This is the first step towards deprecation of this behaviour.

[rcragun]

I think I found an odd case that is part of this issue. Piping a selection helper into across() produces different behavior than typing the helper inside across():

# Very simple function: returns input
self = function(x){x}

# Data to manipulate
dtemp = tibble(var = 1:2)

# No message when selection helper is inside across()
dtemp %>% mutate(across(matches("var"), self))

# Generates message when selection helper is piped to across()
dtemp %>% mutate(matches("var") %>% across(self))

The last line recommends all_of(), but the line before it does not.

I do not know if this is an issue with the code that generates the message or with my understanding of the pipe operator. I think most users understand a %>% b to be equivalent to b(a), but perhaps a %>% b evaluates a and then applies b() to the value returned from evaluating a while b(a) evaluates a in an environment somehow determined by b(). Even if this is how the pipe works, the message could be more helpful to the user because this example does not clearly reference an external vector.

dplyr version: 1.0.6
tidyverse version: 1.3.1