Base SAS 9.1.3 Procedures Guide - Acsu Buffalo

PROC CORR Statement
9
CSSCP
displays a table of the corrected sums of squares and crossproducts. When you specify
the CSSCP option, the Pearson correlations will also be displayed. If you specify
the OUTP= option, the output data set also contains a CSSCP matrix with the corresponding
–TYPE– variable value ‘CSSCP.’ If you use a PARTIAL statement, PROC
CORR prints both an unpartial and a partial CSSCP matrix, and the output data set
contains a partial CSSCP matrix.
DATA=SAS-data-set
names the SAS data set to be analyzed by PROC CORR. By default, the procedure
uses the most recently created SAS data set.
EXCLNPWGT
excludes observations with nonpositive weight values from the analysis. By default,
PROC CORR treats observations with negative weights like those with zero weights
and counts them in the total number of observations.
FISHER < ( fisher-options ) >
requests confidence limits and p-values under a specified null hypothesis, H 0 : ρ =
ρ 0 , for correlation coefficients using Fisher’s z transformation. These correlations
include the Pearson correlations and Spearman correlations.
The following fisher-options are available:
ALPHA= α
specifies the level of the confidence limits for the correlation, 100(1 − α)%.
The value of the ALPHA= option must be between 0 and 1, and the default is
ALPHA=0.05.
BIASADJ= YES | NO
specifies whether or not the bias adjustment is used in constructing confidence
limits. The BIASADJ=YES option also produces a new correlation estimate
using the bias adjustment. By default, BIASADJ=YES.
RHO0= ρ 0
specifies the value ρ 0 in the null hypothesis H 0 : ρ = ρ 0 , where −1 < ρ 0 < 1.
By default, RHO0=0.
TYPE= LOWER | UPPER | TWOSIDED
specifies the type of confidence limits. The TYPE=LOWER option requests
a lower confidence limit from the lower alternative H 1 : ρ < ρ 0 , the
TYPE=UPPER option requests an upper confidence limit from the upper alternative
H 1 : ρ > ρ 0 , and the default TYPE=TWOSIDED option requests twosided
confidence limits from the two-sided alternative H 1 : ρ ≠ ρ 0 .
HOEFFDING
requests a table of Hoeffding’s D statistics. This D statistic is 30 times larger than the
usual definition and scales the range between −0.5 and 1 so that large positive values
indicate dependence. The HOEFFDING option is invalid if a WEIGHT or PARTIAL
statement is used.