Nothing
Code
out <- filter(df, matrix(c(TRUE, FALSE), nrow = 2))
Condition
Warning:
Using one column matrices in `filter()` was deprecated in dplyr 1.1.0.
i Please use one dimensional logical vectors instead.
Code
out <- filter(gdf, matrix(c(TRUE, FALSE), nrow = 2))
Condition
Warning:
Using one column matrices in `filter()` was deprecated in dplyr 1.1.0.
i Please use one dimensional logical vectors instead.
Code
(expect_error(filter(df, matrix(TRUE, nrow = 3, ncol = 2))))
Output
<error/rlang_error>
Error in `filter()`:
i In argument: `matrix(TRUE, nrow = 3, ncol = 2)`.
Caused by error:
! `..1` must be a logical vector, not a logical matrix.
Code
(expect_error(filter(df, array(TRUE, dim = c(3, 1, 1)))))
Output
<error/rlang_error>
Error in `filter()`:
i In argument: `array(TRUE, dim = c(3, 1, 1))`.
Caused by error:
! `..1` must be a logical vector, not a logical array.
Code
(expect_error(iris %>% group_by(Species) %>% filter(1:n())))
Output
<error/rlang_error>
Error in `filter()`:
i In argument: `1:n()`.
i In group 1: `Species = setosa`.
Caused by error:
! `..1` must be a logical vector, not an integer vector.
Code
(expect_error(iris %>% filter(1:n())))
Output
<error/rlang_error>
Error in `filter()`:
i In argument: `1:n()`.
Caused by error:
! `..1` must be a logical vector, not an integer vector.
Code
(expect_error(filter(data.frame(x = 1:2), matrix(c(TRUE, FALSE, TRUE, FALSE),
nrow = 2))))
Output
<error/rlang_error>
Error in `filter()`:
i In argument: `matrix(c(TRUE, FALSE, TRUE, FALSE), nrow = 2)`.
Caused by error:
! `..1` must be a logical vector, not a logical matrix.
Code
(expect_error(iris %>% group_by(Species) %>% filter(c(TRUE, FALSE))))
Output
<error/rlang_error>
Error in `filter()`:
i In argument: `c(TRUE, FALSE)`.
i In group 1: `Species = setosa`.
Caused by error:
! `..1` must be of size 50 or 1, not size 2.
Code
(expect_error(iris %>% rowwise(Species) %>% filter(c(TRUE, FALSE))))
Output
<error/rlang_error>
Error in `filter()`:
i In argument: `c(TRUE, FALSE)`.
i In row 1.
Caused by error:
! `..1` must be of size 1, not size 2.
Code
(expect_error(iris %>% filter(c(TRUE, FALSE))))
Output
<error/rlang_error>
Error in `filter()`:
i In argument: `c(TRUE, FALSE)`.
Caused by error:
! `..1` must be of size 150 or 1, not size 2.
Code
(expect_error(iris %>% group_by(Species) %>% filter(data.frame(c(TRUE, FALSE))))
)
Output
<error/rlang_error>
Error in `filter()`:
i In argument: `data.frame(c(TRUE, FALSE))`.
i In group 1: `Species = setosa`.
Caused by error:
! `..1` must be of size 50 or 1, not size 2.
Code
(expect_error(iris %>% rowwise() %>% filter(data.frame(c(TRUE, FALSE)))))
Output
<error/rlang_error>
Error in `filter()`:
i In argument: `data.frame(c(TRUE, FALSE))`.
i In row 1.
Caused by error:
! `..1` must be of size 1, not size 2.
Code
(expect_error(iris %>% filter(data.frame(c(TRUE, FALSE)))))
Output
<error/rlang_error>
Error in `filter()`:
i In argument: `data.frame(c(TRUE, FALSE))`.
Caused by error:
! `..1` must be of size 150 or 1, not size 2.
Code
(expect_error(tibble(x = 1) %>% filter(c(TRUE, TRUE))))
Output
<error/rlang_error>
Error in `filter()`:
i In argument: `c(TRUE, TRUE)`.
Caused by error:
! `..1` must be of size 1, not size 2.
Code
(expect_error(iris %>% group_by(Species) %>% filter(data.frame(Sepal.Length > 3,
1:n()))))
Condition
Warning:
Returning data frames from `filter()` expressions was deprecated in dplyr 1.0.8.
i Please use `if_any()` or `if_all()` instead.
Output
<error/rlang_error>
Error in `filter()`:
i In argument: `data.frame(Sepal.Length > 3, 1:n())`.
i In group 1: `Species = setosa`.
Caused by error:
! `..1$X1.n..` must be a logical vector, not an integer vector.
Code
(expect_error(iris %>% filter(data.frame(Sepal.Length > 3, 1:n()))))
Condition
Warning:
Returning data frames from `filter()` expressions was deprecated in dplyr 1.0.8.
i Please use `if_any()` or `if_all()` instead.
Output
<error/rlang_error>
Error in `filter()`:
i In argument: `data.frame(Sepal.Length > 3, 1:n())`.
Caused by error:
! `..1$X1.n..` must be a logical vector, not an integer vector.
Code
(expect_error(mtcars %>% filter(`_x`)))
Output
<error/rlang_error>
Error in `filter()`:
i In argument: `_x`.
Caused by error:
! object '_x' not found
Code
(expect_error(mtcars %>% group_by(cyl) %>% filter(`_x`)))
Output
<error/rlang_error>
Error in `filter()`:
i In argument: `_x`.
i In group 1: `cyl = 4`.
Caused by error:
! object '_x' not found
Code
(expect_error(filter(mtcars, x = 1)))
Output
<error/rlang_error>
Error in `filter()`:
! We detected a named input.
i This usually means that you've used `=` instead of `==`.
i Did you mean `x == 1`?
Code
(expect_error(filter(mtcars, y > 2, z = 3)))
Output
<error/rlang_error>
Error in `filter()`:
! We detected a named input.
i This usually means that you've used `=` instead of `==`.
i Did you mean `z == 3`?
Code
(expect_error(filter(mtcars, TRUE, x = 1)))
Output
<error/rlang_error>
Error in `filter()`:
! We detected a named input.
i This usually means that you've used `=` instead of `==`.
i Did you mean `x == 1`?
Code
(expect_error(filter(ts(1:10))))
Output
<error/rlang_error>
Error in `filter()`:
! Incompatible data source.
x `.data` is a <ts> object, not a data source.
i Did you want to use `stats::filter()`?
Code
(expect_error(tibble() %>% filter(stop("{"))))
Output
<error/rlang_error>
Error in `filter()`:
i In argument: `stop("{")`.
Caused by error:
! {
Code
data.frame(x = 1, y = 1) %>% filter(across(everything(), ~ .x > 0))
Condition
Warning:
Using `across()` in `filter()` was deprecated in dplyr 1.0.8.
i Please use `if_any()` or `if_all()` instead.
Output
x y
1 1 1
Code
data.frame(x = 1, y = 1) %>% filter(data.frame(x > 0, y > 0))
Condition
Warning:
Returning data frames from `filter()` expressions was deprecated in dplyr 1.0.8.
i Please use `if_any()` or `if_all()` instead.
Output
x y
1 1 1
filter()
doesn't allow data frames with missing or empty names (#6758)Code
filter(df1)
Condition
Error in `filter()`:
! Can't transform a data frame with `NA` or `""` names.
Code
filter(df2)
Condition
Error in `filter()`:
! Can't transform a data frame with `NA` or `""` names.
.by
with .preserve
Code
filter(df, .by = x, .preserve = TRUE)
Condition
Error in `filter()`:
! Can't supply both `.by` and `.preserve`.
.by
with grouped-dfCode
filter(gdf, .by = x)
Condition
Error in `filter()`:
! Can't supply `.by` when `.data` is a grouped data frame.
.by
with rowwise-dfCode
filter(rdf, .by = x)
Condition
Error in `filter()`:
! Can't supply `.by` when `.data` is a rowwise data frame.
by
typo (#6647)Code
filter(df, by = x)
Condition
Error in `filter()`:
! Can't specify an argument named `by` in this verb.
i Did you mean to use `.by` instead?
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