| assert_data_frame | R Documentation | 
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()
)
| arg | A function argument to be checked 
 | 
| required_vars | A list of variables created using  
 | 
| check_is_grouped | Throws an error if  
 | 
| optional | Is the checked argument optional? If set to  
 | 
| arg_name | string indicating the label/symbol of the object being checked. 
 | 
| message | string passed to  
 | 
| class | Subclass of the condition. | 
| call | The execution environment of a currently running
function, e.g.  You only need to supply  Can also be  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)))
try(example_fun("Not a dataset"))
try(example_fun(group_by(dm, USUBJID)))
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