15.7.4 类别标签位置

/CLABELS {AUTO _|_ {ROWLABELS _|_ COLLABELS}={OPPOSITE _|_ LAYER}}

CLABELS 子命令控制其后面的 TABLE 子命令的类别标签位置。默认情况下，或指定 AUTO 时，给定变量的类别标签嵌套在同一轴上该变量的标签内。例如，以下命令会使年龄类别嵌套在行轴上的年龄组变量内，性别类别嵌套在列轴上的性别变量内：

CTABLES /TABLE ageGroup BY gender.

		Male	Female
		S3a. GENDER:
		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 或 COLLABELS=OPPOSITE 分别将行变量或列变量的类别标签移到相反的轴。该设置只影响给定轴上最内层的变量（这些变量必须是分类变量）。例如：

CTABLES /TABLE ageGroup BY gender /CLABELS ROWLABELS=OPPOSITE.
CTABLES /TABLE ageGroup BY gender /CLABELS COLLABELS=OPPOSITE.

	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
	S3a. GENDER:
	Male	Female
	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
			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 或 COLLABELS=LAYER 分别将最内层的行变量或列变量的类别标签移到层轴。

只能移动一个轴的标签，无论是移到相反的轴还是层轴。

对汇总统计量的影响

CLABELS 主要影响表的外观，而不影响其中显示的数据。然而，CTABLES 可能影响用于汇总表区域的统计量所显示的值，因为它会改变这些区域的定义。

例如，考虑以下语法和输出：

CTABLES /TABLE ageGroup BY gender [ROWPCT, COLPCT].

		Row %	Column %	Row %	Column %
		S3a. GENDER:
		Male	Female
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%

使用 COLLABELS=OPPOSITE 会改变行和列的定义，使得列百分比显示的是之前的行百分比，而新的行百分比变得没有意义（因为每行只有一个单元格）：

CTABLES
    /TABLE ageGroup BY gender [ROWPCT, COLPCT]
    /CLABELS COLLABELS=OPPOSITE.

			Row %	Column %
			S3a. GENDER:
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%

为堆叠变量移动类别

如果 CLABELS 从带有堆叠变量的轴移动类别标签，则被移动的变量必须具有相同的类别规范（参见 CTABLES Per-Variable Category Options）和相同的值标签。

以下展示了既移动堆叠类别变量，又适应行和列定义的变化：

CTABLES /TABLE (likelihoodOfBeingStoppedByPolice
                + likelihoodOfHavingAnAccident) [COLPCT].
CTABLES /TABLE (likelihoodOfBeingStoppedByPolice
                + likelihoodOfHavingAnAccident) [ROWPCT]
  /CLABELS ROW=OPPOSITE.

	Almost certain	Very likely	Somewhat likely	Somewhat unlikely	Very unlikely
		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%
	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%