cause_label_df: Data frame with labels for missing- and jump-codes
In dataquieR: Data Quality in Epidemiological Research
cause_label_df R Documentation
Data frame with labels for missing- and jump-codes
Description
data.frame with the following columns:
-
CODE_VALUE: numeric | DATETIME Missing code
(the number or date representing a missing)
-
CODE_LABEL: character a label for the missing code
-
CODE_CLASS: enum JUMP | MISSING. Class of the missing code.
-
CODE_INTERPRET enum I | P | PL | R | BO | NC | O | UH | UO | NE.
Class of the missing code according to
AAPOR.
-
resp_vars: character optional, if a missing code is specific for some
variables, it is listed for each such variable
with one entry in resp_vars, If NA, the
code is assumed shared among all variables.
For v1.0 metadata, you need to refer to
VAR_NAMES here.
See Also
dataquieR documentation built on May 29, 2024, 7:18 a.m.
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| cause_label_df | R Documentation |
Data frame with labels for missing- and jump-codes
Description
data.frame with the following columns:
-
CODE_VALUE: numeric | DATETIME Missing code (the number or date representing a missing) -
CODE_LABEL: character a label for the missing code -
CODE_CLASS: enum JUMP | MISSING. Class of the missing code. -
CODE_INTERPRETenum I | P | PL | R | BO | NC | O | UH | UO | NE. Class of the missing code according toAAPOR. -
resp_vars: character optional, if a missing code is specific for some variables, it is listed for each such variable with one entry inresp_vars, IfNA, the code is assumed shared among all variables. For v1.0 metadata, you need to refer toVAR_NAMEShere.
See Also
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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