Code
tbl %>% mutate(y = NULL, a = sum(y))
Error <dplyr:::mutate_error>
Problem with `mutate()` column `a`.
i `a = sum(y)`.
x object 'y' not found
Code
tbl %>% group_by(x) %>% mutate(y = NULL, a = sum(y))
Error <dplyr:::mutate_error>
Problem with `mutate()` column `a`.
i `a = sum(y)`.
x object 'y' not found
i The error occurred in group 1: x = 1.
Code
tibble(x = 1) %>% mutate(y = mean)
Error <dplyr:::mutate_error>
Problem with `mutate()` column `y`.
i `y = mean`.
x `y` must be a vector, not a function.
Code
df %>% mutate(out = env(a = 1))
Error <dplyr:::mutate_error>
Problem with `mutate()` column `out`.
i `out = env(a = 1)`.
x `out` must be a vector, not an environment.
Code
df %>% group_by(g) %>% mutate(out = env(a = 1))
Error <dplyr:::mutate_error>
Problem with `mutate()` column `out`.
i `out = env(a = 1)`.
x `out` must be a vector, not an environment.
i The error occurred in group 1: g = 1.
Code
df %>% rowwise() %>% mutate(out = rnorm)
Error <dplyr:::mutate_error>
Problem with `mutate()` column `out`.
i `out = rnorm`.
x `out` must be a vector, not a function.
i Did you mean: `out = list(rnorm)` ?
i The error occurred in row 1.
Code
data.frame(x = rep(1:5, each = 3)) %>% group_by(x) %>% mutate(val = ifelse(x <
3, "foo", 2))
Error <dplyr:::mutate_error>
Problem with `mutate()` column `val`.
i `val = ifelse(x < 3, "foo", 2)`.
x `val` must return compatible vectors across groups
i Result type for group 1 (x = 1): <character>.
i Result type for group 3 (x = 3): <double>.
Code
tibble(a = 1:3, b = 4:6) %>% group_by(a) %>% mutate(if (a == 1) NULL else "foo")
Error <dplyr:::mutate_error>
Problem with `mutate()` input `..1`.
i `..1 = if (a == 1) NULL else "foo"`.
x `..1` must return compatible vectors across groups.
i Cannot combine NULL and non NULL results.
Code
data.frame(x = c(2, 2, 3, 3)) %>% mutate(int = 1:5)
Error <dplyr:::mutate_error>
Problem with `mutate()` column `int`.
i `int = 1:5`.
i `int` must be size 4 or 1, not 5.
Code
data.frame(x = c(2, 2, 3, 3)) %>% group_by(x) %>% mutate(int = 1:5)
Error <dplyr:::mutate_error>
Problem with `mutate()` column `int`.
i `int = 1:5`.
i `int` must be size 2 or 1, not 5.
i The error occurred in group 1: x = 2.
Code
data.frame(x = c(2, 3, 3)) %>% group_by(x) %>% mutate(int = 1:5)
Error <dplyr:::mutate_error>
Problem with `mutate()` column `int`.
i `int = 1:5`.
i `int` must be size 1, not 5.
i The error occurred in group 1: x = 2.
Code
data.frame(x = c(2, 2, 3, 3)) %>% rowwise() %>% mutate(int = 1:5)
Error <dplyr:::mutate_error>
Problem with `mutate()` column `int`.
i `int = 1:5`.
i `int` must be size 1, not 5.
i Did you mean: `int = list(1:5)` ?
i The error occurred in row 1.
Code
tibble(y = list(1:3, "a")) %>% rowwise() %>% mutate(y2 = y)
Error <dplyr:::mutate_error>
Problem with `mutate()` column `y2`.
i `y2 = y`.
i `y2` must be size 1, not 3.
i Did you mean: `y2 = list(y)` ?
i The error occurred in row 1.
Code
data.frame(x = 1:10) %>% mutate(y = 11:20, y = 1:2)
Error <dplyr:::mutate_error>
Problem with `mutate()` column `y`.
i `y = 1:2`.
i `y` must be size 10 or 1, not 2.
Code
tibble(a = 1) %>% mutate(c = .data$b)
Error <dplyr:::mutate_error>
Problem with `mutate()` column `c`.
i `c = .data$b`.
x Column `b` not found in `.data`
Code
tibble(a = 1:3) %>% group_by(a) %>% mutate(c = .data$b)
Error <dplyr:::mutate_error>
Problem with `mutate()` column `c`.
i `c = .data$b`.
x Column `b` not found in `.data`
i The error occurred in group 1: a = 1.
Code
eval_tidy(res$z[[1]])
Error <rlang_error>
Obsolete data mask.
x Too late to resolve `x` after the end of `dplyr::mutate()`.
i Did you save an object that uses `x` lazily in a column in the `dplyr::mutate()` expression ?
Code
tibble() %>% mutate(stop("{"))
Error <dplyr:::mutate_error>
Problem with `mutate()` input `..1`.
i `..1 = stop("{")`.
x {
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