15.7.1.1 分类变量

命名一个分类变量的轴表达式会按该变量的值将数据划分到各个单元格。当 TABLE 上命名的所有变量都是分类变量时，默认每个单元格显示其包含的个案数，因此只指定一个变量会得到一个频数表，类似于 FREQUENCIES 命令的输出（参见 FREQUENCIES）：

CTABLES /TABLE=ageGroup.

		Count
Age group	15 or younger	0
16 to 25	1099
26 to 35	967
36 to 45	1037
46 to 55	1175
56 to 65	1247
66 or older	1474

指定一个行分类变量和一个列分类变量会得到一个列联表，类似于 CROSSTABS 命令的输出（参见 CROSSTABS）：

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

‘>’“嵌套”运算符将多个变量嵌套在单个轴上，例如：

CTABLES /TABLE likelihoodOfBeingStoppedByPolice BY ageGroup > gender.

				Yes	No
				86. In the past year, have you hosted a social event or party where alcohol was served to adults?
				Count	Count
Age group	15 or younger	S3a. GENDER:	Male	0	0
Female	0	0
16 to 25	S3a. GENDER:	Male	208	386
Female	202	303
26 to 35	S3a. GENDER:	Male	225	251
Female	242	249
36 to 45	S3a. GENDER:	Male	223	266
Female	240	307
46 to 55	S3a. GENDER:	Male	201	325
Female	282	366
56 to 65	S3a. GENDER:	Male	196	320
Female	279	452
66 or older	S3a. GENDER:	Male	162	367
Female	243	700

‘+’“堆叠”运算符允许单个输出表包含多个数据分析。使用 ‘+’ 时，CTABLES 将输出表划分为多个 sections（节），每节都包含对完整数据集的一次分析。例如，以下命令分别按性别对年龄组和驾驶频率制表：

CTABLES /TABLE ageGroup + freqOfDriving 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
1. How often do you usually drive a car or other motor vehicle?	Every day	2305	2362
Several days a week	440	834
Once a week or less	125	236
Only certain times a year	58	72
Never	192	348

当 ‘+’ 和 ‘>’ 一起使用时，‘>’ 的绑定更紧密。可使用括号覆盖运算符优先级。因此：

CTABLES /TABLE hasConsideredReduction + hasBeenCriticized > gender.
CTABLES /TABLE (hasConsideredReduction + hasBeenCriticized) > gender.

				Count
26. During the last 12 months, has there been a time when you felt you should cut down on your drinking?	Yes	513
No	3710
27. During the last 12 months, has there been a time when people criticized your drinking?	Yes	S3a. GENDER:	Male	135
Female	49
No	S3a. GENDER:	Male	1916
Female	2126
				Count
26. During the last 12 months, has there been a time when you felt you should cut down on your drinking?	Yes	S3a. GENDER:	Male	333
Female	180
No	S3a. GENDER:	Male	1719
Female	1991
27. During the last 12 months, has there been a time when people criticized your drinking?	Yes	S3a. GENDER:	Male	135
Female	49
No	S3a. GENDER:	Male	1916
Female	2126