15.7.4 Category Label Positions
/CLABELS
{AUTO
| {ROWLABELS
|COLLABELS
}=
{OPPOSITE
|LAYER
}}
The CLABELS
subcommand controls the position of category labels
for the TABLE
subcommand that it follows. By default, or if
AUTO
is specified, category labels for a given variable nest
inside the variable’s label on the same axis. For example, the
command below results in age categories nesting within the age group
variable on the rows axis and gender categories within the gender
variable on the columns axis:
CTABLES /TABLE ageGroup BY gender.
Custom Tables
|
|
S3a. GENDER: |
|
|
Male |
Female |
|
|
Count |
Count |
Age group |
15 or younger |
0 |
0 |
16 to 25 |
594 |
505 |
26 to 35 |
476 |
491 |
36 to 45 |
489 |
548 |
46 to 55 |
526 |
649 |
56 to 65 |
516 |
731 |
66 or older |
531 |
943 |
|
ROWLABELS=OPPOSITE
or COLLABELS=OPPOSITE
move row or column
variable category labels, respectively, to the opposite axis. The
setting affects only the innermost variable or variables, which must
be categorical, on the given axis. For example:
CTABLES /TABLE ageGroup BY gender /CLABELS ROWLABELS=OPPOSITE.
CTABLES /TABLE ageGroup BY gender /CLABELS COLLABELS=OPPOSITE.
Custom Tables
|
S3a. GENDER: |
|
Male |
Female |
|
15 or younger |
16 to 25 |
26 to 35 |
36 to 45 |
46 to 55 |
56 to 65 |
66 or older |
15 or younger |
16 to 25 |
26 to 35 |
36 to 45 |
46 to 55 |
56 to 65 |
66 or older |
|
Count |
Count |
Count |
Count |
Count |
Count |
Count |
Count |
Count |
Count |
Count |
Count |
Count |
Count |
Age group |
0 |
594 |
476 |
489 |
526 |
516 |
531 |
0 |
505 |
491 |
548 |
649 |
731 |
943 |
Custom Tables
|
|
|
S3a. GENDER: |
|
|
|
Count |
Age group |
15 or younger |
Male |
0 |
Female |
0 |
16 to 25 |
Male |
594 |
Female |
505 |
26 to 35 |
Male |
476 |
Female |
491 |
36 to 45 |
Male |
489 |
Female |
548 |
46 to 55 |
Male |
526 |
Female |
649 |
56 to 65 |
Male |
516 |
Female |
731 |
66 or older |
Male |
531 |
Female |
943 |
|
ROWLABELS=LAYER
or COLLABELS=LAYER
move the innermost row or
column variable category labels, respectively, to the layer axis.
Only one axis’s labels may be moved, whether to the opposite axis or
to the layer axis.
Effect on Summary Statistics
CLABELS
primarily affects the appearance of tables, not the
data displayed in them. However, CTABLES
can affect the values
displayed for statistics that summarize areas of a table, since it can
change the definitions of these areas.
For example, consider the following syntax and output:
CTABLES /TABLE ageGroup BY gender [ROWPCT, COLPCT].
Custom Tables
|
|
S3a. GENDER: |
|
|
Male |
Female |
|
|
Row % |
Column % |
Row % |
Column % |
Age group |
15 or younger |
. |
.0% |
. |
.0% |
16 to 25 |
54.0% |
19.0% |
46.0% |
13.1% |
26 to 35 |
49.2% |
15.2% |
50.8% |
12.7% |
36 to 45 |
47.2% |
15.6% |
52.8% |
14.2% |
46 to 55 |
44.8% |
16.8% |
55.2% |
16.8% |
56 to 65 |
41.4% |
16.5% |
58.6% |
18.9% |
66 or older |
36.0% |
17.0% |
64.0% |
24.4% |
|
Using COLLABELS=OPPOSITE
changes the definitions of rows and
columns, so that column percentages display what were previously row
percentages and the new row percentages become meaningless (because
there is only one cell per row):
CTABLES
/TABLE ageGroup BY gender [ROWPCT, COLPCT]
/CLABELS COLLABELS=OPPOSITE.
Custom Tables
|
|
|
S3a. GENDER: |
|
|
|
Row % |
Column % |
Age group |
15 or younger |
Male |
. |
. |
Female |
. |
. |
16 to 25 |
Male |
100.0% |
54.0% |
Female |
100.0% |
46.0% |
26 to 35 |
Male |
100.0% |
49.2% |
Female |
100.0% |
50.8% |
36 to 45 |
Male |
100.0% |
47.2% |
Female |
100.0% |
52.8% |
46 to 55 |
Male |
100.0% |
44.8% |
Female |
100.0% |
55.2% |
56 to 65 |
Male |
100.0% |
41.4% |
Female |
100.0% |
58.6% |
66 or older |
Male |
100.0% |
36.0% |
Female |
100.0% |
64.0% |
|
Moving Categories for Stacked Variables
If CLABELS
moves category labels from an axis with stacked
variables, the variables that are moved must have the same category
specifications (see Per-Variable Category Options) and the
same value labels.
The following shows both moving stacked category variables and
adapting to the changing definitions of rows and columns:
CTABLES /TABLE (likelihoodOfBeingStoppedByPolice
+ likelihoodOfHavingAnAccident) [COLPCT].
CTABLES /TABLE (likelihoodOfBeingStoppedByPolice
+ likelihoodOfHavingAnAccident) [ROWPCT]
/CLABELS ROW=OPPOSITE.
Custom Tables
|
|
Column % |
105b. How likely is it that drivers who have had too much to drink to drive safely will A. Get stopped by the police? |
Almost certain |
10.2% |
Very likely |
21.8% |
Somewhat likely |
40.2% |
Somewhat unlikely |
19.0% |
Very unlikely |
8.9% |
105b. How likely is it that drivers who have had too much to drink to drive safely will B. Have an accident? |
Almost certain |
15.9% |
Very likely |
40.8% |
Somewhat likely |
35.0% |
Somewhat unlikely |
6.2% |
Very unlikely |
2.0% |
Custom Tables
|
Almost certain |
Very likely |
Somewhat likely |
Somewhat unlikely |
Very unlikely |
|
Row % |
Row % |
Row % |
Row % |
Row % |
105b. How likely is it that drivers who have had too much to drink to drive safely will A. Get stopped by the police? |
10.2% |
21.8% |
40.2% |
19.0% |
8.9% |
105b. How likely is it that drivers who have had too much to drink to drive safely will B. Have an accident? |
15.9% |
40.8% |
35.0% |
6.2% |
2.0% |
|