CODE_LIST_TABLE is a table that can be used to specify both missing codes and value labels. This is useful in case there is a great number of tables.
In the item_level metadata
, the column
MISSING_LIST_TABLE
and VALUE_LABEL_TABLE
enable to indicate the name of the relative table that should contain
the missing or value labels data, as you can see from the following
example of an item_level metadata.
## Warning in attr(x, "align"): 'xfun::attr()' is deprecated.
## Use 'xfun::attr2()' instead.
## See help("Deprecated")
VAR_NAMES | LABEL | DATA_TYPE | MISSING_LIST_TABLE | VALUE_LABEL_TABLE | |
---|---|---|---|---|---|
7 | v01002 | SEX_1 | integer | NA | sex_vl |
9 | v00004 | SBP_0 | float | missing_table | part_vl |
10 | v00005 | DBP_0 | float | missing_table | |
11 | v00006 | GLOBAL_HEALTH_VAS_0 | float | missing_table | |
26 | v00018 | EDUCATION_0 | integer | missing_table | edu_vl |
Can contain two types of values:
the different levels associated with missing data or jumps as defined in the study, i.e., the missing categories (see also missings);
the possible values corresponding to the levels of a categorical variable.
Sets the interpretation of the codes, usually they correspond to the labels assigned in the study. For example, the code labels may be as follows.
## Warning in attr(x, "align"): 'xfun::attr()' is deprecated.
## Use 'xfun::attr2()' instead.
## See help("Deprecated")
CODE_VALUE | CODE_LABEL | |
---|---|---|
2 | 99981 | Missing - exclusion criteria |
9 | 99988 | Missing - optional value |
1 | 0 | females |
21 | 1 | males |
Assigns an order to value labels. This can be useful in case of ordinal variables (e.g., low, medium, high).
## Warning in attr(x, "align"): 'xfun::attr()' is deprecated.
## Use 'xfun::attr2()' instead.
## See help("Deprecated")
CODE_VALUE | CODE_LABEL | CODE_ORDER | |
---|---|---|---|
2 | 99981 | Missing - exclusion criteria | |
9 | 99988 | Missing - optional value | |
1 | 0 | females | |
21 | 1 | males | |
3 | 0 | pre-primary | 1 |
4 | 1 | primary | 2 |
5 | 2 | secondary | 3 |
Assigns the meaning of CODE_VALUE
and it can contains
one of the following:
MISSING
, the code represents a missing
value;
JUMP
, the code represents a jump value; or
VALUE
, the code represents a level of a categorical
variable.
## Warning in attr(x, "align"): 'xfun::attr()' is deprecated.
## Use 'xfun::attr2()' instead.
## See help("Deprecated")
CODE_VALUE | CODE_LABEL | CODE_ORDER | CODE_CLASS | |
---|---|---|---|---|
9 | 99988 | Missing - optional value | MISSING | |
11 | 99990 | Deleted - contradiction | MISSING | |
17 | 88880 | JUMP 88880 | JUMP | |
1 | 0 | females | VALUE | |
2 | 1 | males | VALUE | |
12 | 0 | pre-primary | 1 | VALUE |
21 | 1 | primary | 2 | VALUE |
3 | 2 | secondary | 3 | VALUE |
The table name used to identify the corresponding information in the
item_level metadata
.
## Warning in attr(x, "align"): 'xfun::attr()' is deprecated.
## Use 'xfun::attr2()' instead.
## See help("Deprecated")
CODE_VALUE | CODE_LABEL | CODE_ORDER | CODE_CLASS | CODE_LIST_TABLE | |
---|---|---|---|---|---|
9 | 99988 | Missing - optional value | MISSING | missing_table | |
11 | 99990 | Deleted - contradiction | MISSING | missing_table | |
17 | 88880 | JUMP 88880 | JUMP | missing_table | |
1 | 0 | females | VALUE | sex_vl | |
2 | 1 | males | VALUE | sex_vl | |
12 | 0 | pre-primary | 1 | VALUE | edu_vl |
21 | 1 | primary | 2 | VALUE | edu_vl |
3 | 2 | secondary | 3 | VALUE | edu_vl |
Defines the interpretation of the missing and jump values using the AAPOR concept. The acronym from AAPOR suffices as an entry. For more details see the explanation on qualified missingness labels from AAPOR.
## Warning in attr(x, "align"): 'xfun::attr()' is deprecated.
## Use 'xfun::attr2()' instead.
## See help("Deprecated")
CODE_VALUE | CODE_LABEL | CODE_ORDER | CODE_CLASS | CODE_LIST_TABLE | CODE_INTERPRET | |
---|---|---|---|---|---|---|
9 | 99988 | Missing - optional value | MISSING | missing_table | NE | |
11 | 99990 | Deleted - contradiction | MISSING | missing_table | O | |
17 | 88880 | JUMP 88880 | JUMP | missing_table | NE | |
1 | 0 | females | VALUE | sex_vl | ||
2 | 1 | males | VALUE | sex_vl | ||
12 | 0 | pre-primary | 1 | VALUE | edu_vl | |
21 | 1 | primary | 2 | VALUE | edu_vl | |
3 | 2 | secondary | 3 | VALUE | edu_vl |