Checks if an argument is a data frame and (optionally) whether is contains a set of required variables
assert_data_frame(
arg,
required_vars = NULL,
check_is_grouped = TRUE,
optional = FALSE,
arg_name = rlang::caller_arg(arg),
message = NULL,
class = "assert_data_frame",
call = parent.frame()
)
A function argument to be checked
none
A list of variables created using exprs()
NULL
Throws an error if dataset
is grouped?
TRUE
Is the checked argument optional? If set to FALSE
and arg
is NULL
then an error is thrown
FALSE
string indicating the label/symbol of the object being checked.
rlang::caller_arg(arg)
string passed to cli::cli_abort(message)
.
When NULL
, default messaging is used (see examples for default messages).
"{arg_name}"
can be used in messaging.
NULL
Subclass of the condition.
The execution environment of a currently running
function, e.g. call = caller_env()
. The corresponding function
call is retrieved and mentioned in error messages as the source
of the error.
You only need to supply call
when throwing a condition from a
helper function which wouldn't be relevant to mention in the
message.
Can also be NULL
or a defused function call to
respectively not display any call or hard-code a code to display.
For more information about error calls, see Including function calls in error messages.
The function throws an error if arg
is not a data frame or if arg
is a
data frame but misses any variable specified in required_vars
. Otherwise,
the input is returned invisibly.
Checks for valid input and returns warning or errors messages:
assert_atomic_vector()
,
assert_character_scalar()
,
assert_character_vector()
,
assert_date_vector()
,
assert_expr()
,
assert_expr_list()
,
assert_filter_cond()
,
assert_function()
,
assert_integer_scalar()
,
assert_list_element()
,
assert_list_of()
,
assert_logical_scalar()
,
assert_named()
,
assert_numeric_vector()
,
assert_one_to_one()
,
assert_param_does_not_exist()
,
assert_s3_class()
,
assert_same_type()
,
assert_symbol()
,
assert_unit()
,
assert_vars()
,
assert_varval_list()
library(dplyr)
library(rlang)
dm <- tribble(
~STUDYID, ~USUBJID,
"XYZ", "1",
"XYZ", "2"
)
example_fun <- function(dataset) {
assert_data_frame(dataset, required_vars = exprs(STUDYID, USUBJID))
}
example_fun(dm)
try(example_fun(select(dm, -STUDYID)))
#> Error in example_fun(select(dm, -STUDYID)) :
#> Required variable `STUDYID` is missing in `dataset`
try(example_fun("Not a dataset"))
#> Error in example_fun("Not a dataset") :
#> Argument `dataset` must be class <data.frame>, but is a string.
try(example_fun(group_by(dm, USUBJID)))
#> Error in example_fun(group_by(dm, USUBJID)) :
#> Argument `dataset` must not be a grouped dataset, please `ungroup()` it.