FREQ过程

更新时间:2023-05-31 18:22:03 阅读：评论：0

FREQ过程产生一维到n维频数表和交叉(列联) 表。对于二维表PROC FREQ 计算检验和属性的度量。对于n维表PROC FREQ 做分层分析、计算层内统计量, 交叉、分层、频数和统计量同样能输出到SAS数据集。

PROC FREQ能计算一维频数表相等比率、特殊比率或二项式比率统计量检验。 PROC FREQ 能计算任何分层变量列联表在两个分类变量调整之间关系检验的各种统计量。 PROC FREQ 自动显示输出在报告中，并且也能存输出在SAS数据集中。

某些配对变量，可以检验任何变量之间关系的存在或相关的强度。如果关系存在的话，决定计算卡方检验、估计相关的强度，等

∙卡方检验和度量

∙属性的度量

∙风险 (二项式比率) 和2×2 表的风险差

∙2×2 面相鼻子表比数比和相对危险

∙趋势检验

∙检验和一致性的度量

∙CMH统计量

The following statements are available in PROC FREQ.

PROC FREQ < options > ;

BY variables ;

EXACT statistic-options < / computation-options > ;

OUTPUT < OUT=SAS-data-t > options ;

TABLES requests < / options > ;

TEST options ;

WEIGHT variable < / option > ;

EXACT指定统计量的确切检验或置信限，kangnai

Option	Exact Statistics Computed
AGREE	2 ×2表的 McNemar's 检验, 简单的kappa系数, 和加权的kappa系数
BINOMIAL	一维表的二项式比例检验
CHISQ	一维表的拟合优度检验; 二维表的Pearson 卡方,似然比卡方, 和 Mantel-Haenszel卡方检验
COMOR	h ×2 ×2表公共的OR置信限; 公共的OR检验
FISHER	Fisher's 精确检验
JT	Jonckheere-Terpstra 检验
KAPPA	简单的kappa系数检验
LRCHI	似然比卡方检验
MCNEM	McNemar's检验
MEASURES	Pearson 相关和 Spearman相关检验, 和2 ×2表OR置信限金风玉露一相逢便胜却人间无数
MHCHI	Mantel-Haenszel卡方检验
OR	2 ×2 表OR值的置信限
PCHI	Pearson卡方检验
PCORR	Pearson相关系数检验
SCORR	Spearman相关系数检验
TREND	Cochran-Armitage趋势检验
WTKAP	加权kappa系数检验

Computation-Options：

ALPHA= 指定Monte Carlo p-值估计置信限的水平。ALPHA= 值必须在0到1之间，默认值是0.01。

MAXTIME=value

指定计算精确p-值的最大时间。

要求 Monte Carlo精确p-值估计代替直接p-值计算。

N=n

指定Monte Carlo估计样本数

POINT

要求检验统计量的精确点概率。

SEED=number

为Monte Carlo估计随机数发生指定初始种子。

OUTPUT < OUT= SAS-data-t > options ;

OUTPUT Statement Options and Required TABLES Statement Options

爱国小报内容

Option	Output Data Set Statistics	牙痛小妙招 Required TABLES Statement Option
AGREE	McNemar's test for 2 ×2 tables, simple kappa coefficient, and weighted kappa coefficient; for square tables with more than two respon categories, Bowker's test of symmetry; for multiple strata, overall simple and weighted kappa statistics, and tests for equal kappas among strata; for multiple strata with two respon categories, Cochran's Q test	AGREE
AJCHI	2 ×2表连续校正χ2	ALL or CHISQ
ALL	all statistics under CHISQ, MEASURES, and CMH, and the number of nonmissing subjects	ALL
BDCHI	Breslow-Day test	ALL or CMH or CMH1 or CMH2
BIN \| BINOMIAL	for one-way tables, binomial proportion statistics	BINOMIAL
CHISQ	chi-square goodness-of-fit test for one-way tables; for two-way tables, Pearson chi-square, likelihood-ratio chi-square, continuity-adjusted chi-square for 2 ×2 tables, Mantel-Haenszel chi-square, Fisher's exact test for 2 ×2 tables, phi coefficient, contingency coefficient, and Cramer's V	ALL or CHISQ
CMH	Cochran-Mantel-Haenszel correlation, row mean scores (ANOVA), and general association statistics; for 2 ×2 tables, logit and Mantel-Haenszel adjusted odds ratios, relative risks, and Breslow-Day test	ALL or CMH
CMH1	same as CMH, but excludes general association and row mean scores (ANOVA) statistics	ALL or CMH or CMH1
CMH2	same as CMH, but excludes the general association statistic	ALL or CMH or CMH2
CMHCOR	Cochran-Mantel-Haenszel correlation statistic	ALL or CMH or CMH1 or CMH2
CMHGA	Cochran-Mantel-Haenszel general association statistic	ALL or CMH
CMHRMS	Cochran-Mantel-Haenszel row mean scores (ANOVA) statistic	ALL or CMH or CMH2
COCHQ	Cochran's Q	AGREE
CONTGY	contingency coefficient	ALL or CHISQ
CRAMV	Cramer's V	ALL or CHISQ
EQKAP	test for equal simple kappas	AGREE
EQWKP	test for equal weighted kappas	AGREE
FISHER \| EXACT	Fisher's exact test	ALL or CHISQ *
GAMMA	gamma	ALL or MEASURES

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JT	Jonckheere-Terpstra test	JT
KAPPA	simple kappa coefficient	AGREE
KENTB	Kendall's tau-b	ALL or MEASURES
LAMCR	lambda asymmetric (C\|R)	ALL or MEASURES
LAMDAS	lambda symmetric	ALL or MEASURES
LAMRC	lambda asymmetric (R\|C)	ALL or MEASURES
LGOR	adjusted logit odds ratio	ALL or CMH or CMH1 or CMH2
LGRRC1	adjusted column 1 logit relative risk	ALL or CMH or CMH1 or CMH2
LGRRC2	adjusted column 2 logit relative risk	ALL or CMH or CMH1 or CMH2
LRCHI	likelihood-ratio chi-square	ALL or CHISQ
MCNEM	McNemar's test	AGREE
MEASURES	gamma, Kendall's tau-b, Stuart's tau-c, Somers' 物流定义D (C\|R), Somers' D (R\|C), Pearson correlation coefficient, Spearman correlation coefficient, lambda asymmetric (C\|R), lambda asymmetric (R\|C), lambda symmetric, uncertainty coefficient (C\|R), uncertainty coefficient (R\|C)赠汪伦拼音, and symmetric uncertainty coefficient; for 2 ×2 tables, odds ratio and relative risks	ALL or MEASURES
MHCHI	Mantel-Haenszel chi-square	ALL or CHISQ
MHOR	adjusted Mantel-Haenszel odds ratio	ALL or CMH or CMH1 or CMH2
MHRRC1	adjusted column 1 Mantel-Haenszel relative risk	ALL or CMH or CMH1 or CMH2
MHRRC2	adjusted column 2 Mantel-Haenszel relative risk	ALL or CMH or CMH1 or CMH2
N	number of nonmissing subjects for the stratum
NMISS	number of missing subjects for the stratum
OR	odds ratio	ALL or MEASURES or RELRISK
PCHI	chi-square goodness-of-fit test for one-way tables; for two-way tables, Pearson chi-square	ALL or CHISQ

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