The CORR Procedure

PROC CORR Statement

The CORR procedure is a statistical procedure for numeric random variables that computes Pearson correlation coefficients, three nonparametric measures of association, and the probabilities associated with these statistics. The correlation statistics include

• Pearson product-moment and weighted product-moment correlation
• Spearman rank-order correlation
• Kendall's tau-b
• Hoeffding's measure of dependence, D
• Pearson, Spearman, and Kendall partial correlation.

PROC CORR also computes Cronbach's coefficient alpha for estimating reliability.

The default correlation analysis includes descriptive statistics, Pearson correlation statistics, and probabilities for each analysis variable. You can save the correlation statistics in a SAS data set for use with other statistical and reporting procedures.

---

PROC CORR <option(s)>;

To do this		Use this option
Specify the input data set		DATA=
Create output data sets
	Specify an output data set to contain Hoeffding's D statistics	OUTH=
	Specify an output data set to contain Kendall correlations	OUTK=
	Specify an output data set to contain Pearson correlations	OUTP=
	Specify an output data set to contain Spearman correlations	OUTS=
Control statistical analysis
	Exclude observations with nonpositive weight values from the analysis	EXCLNPWGT
	Request Hoeffding's measure of dependence, D	HOEFFDING
	Request Kendall's tau-b	KENDALL
	Request Pearson product-moment correlation	PEARSON
	Request Spearman rank-order correlation	SPEARMAN
Control Pearson correlation statistics
	Compute Cronbach's coefficient alpha	ALPHA
	Compute covariances	COV
	Compute corrected sums of squares and crossproducts	CSSCP
	Exclude missing values	NOMISS
	Specify singularity criterion	SINGULAR=
	Compute sums of squares and crossproducts	SSCP
	Specify the divisor for variance calculations	VARDEF=
Control printed output
	Specify the number and order of correlation coefficients	BEST=
	Suppress Pearson correlations	NOCORR
	Suppress all printed output	NOPRINT
	Suppress significance probabilities	NOPROB
	Suppress descriptive statistics	NOSIMPLE
	Change the order of correlation coefficients	RANK