I'm not sure which of the packages is causing the error, but here is the error I receive when running the filter_loudly example in the readme. This is running on R 3.5.2 with dplyr 0.8.0.1, rlang 0.3.3, and friendlyeval 0.1.1:
filter_loudly <- function(x, ...){
dots <- list(...)
## if accepting list arguments, should check all are character
stopifnot(purrr::every(dots, is.character))
in_rows <- nrow(x)
out <- filter(x, !!!treat_strings_as_exprs(dots))
out_rows <- nrow(out)
message("Filtered out ",in_rows-out_rows," rows.")
return(out)
}
data(mtcars)
filter_loudly(mtcars, 'cyl >= 6', 'am == 1')
Error:
Error: `x` must be a character vector or an R connection
Call `rlang::last_error()` to see a backtrace
> rlang::last_error()
<error>
message: `x` must be a character vector or an R connection
class: `rlang_error`
backtrace:
1. global::filter_loudly(mtcars, "cyl >= 6", "am == 1")
8. friendlyeval::treat_strings_as_exprs(dots)
9. rlang::parse_exprs(arg)
Call `rlang::last_trace()` to see the full backtrace
I'm not sure which of the packages is causing the error, but here is the error I receive when running the
filter_loudly
example in the readme. This is running on R 3.5.2 with dplyr0.8.0.1
, rlang0.3.3
, and friendlyeval0.1.1
:Error: