Description Usage Arguments Details Value Examples
Use these function to determine the validity of a stw_dict
or stw_meta
object;
stw_check()
tells you about the object, stw_validate()
additionally throws
an error if warranted. To support piping, these functions return their first
argument invisibly.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 | stw_check(...)
## Default S3 method:
stw_check(...)
## S3 method for class 'stw_dict'
stw_check(dict, verbosity = c("error", "info", "all", "none"), ...)
## S3 method for class 'stw_meta'
stw_check(meta, verbosity = c("error", "info", "all", "none"), ...)
## S3 method for class 'stw_dataset'
stw_check(dataset, verbosity = c("error", "info", "all"), ...)
stw_validate(...)
## Default S3 method:
stw_validate(...)
## S3 method for class 'stw_dict'
stw_validate(dict, verbosity = c("error", "info", "all"), ...)
## S3 method for class 'stw_meta'
stw_validate(meta, verbosity = c("error", "info", "all"), ...)
## S3 method for class 'stw_dataset'
stw_validate(dataset, verbosity = c("error", "info", "all"), ...)
|
... |
other arguments (not used) |
dict |
Object with S3 class |
verbosity |
|
meta |
Object with S3 class |
dataset |
Object with S3 class |
You can specify the verbosity
:
"error"
reports results of all checks that failed
"info"
reports results of all checks that failed, and that find missing optional information
"all"
reports results of all checks
"none"
reports no results
The "none"
option may not seem intuitive, it is for internal use.
These functions set an internal attribute of the object to inicate its
validity.
For a stw_dict
object, each name
nust be unique and non-trivial,
each description
must be non-trivial, type
is optional.
For a stw_meta
object, it must have a non-trivial name
, and dict
.
It may have a title
, description
, source
, n_row
, and n_col
.
modified copy of dict
or meta
1 | stw_check(diamonds_meta$dict)
|
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