The HPCORR Procedure

Output Tables

By default, PROC HPCORR prints a report that includes descriptive statistics and correlation statistics for each variable. The descriptive statistics include the number of observations that have nonmissing values, the mean, the standard deviation, the minimum, and the maximum.

If a nonparametric measure of association is requested, the descriptive statistics include the median. Otherwise, the sample sum is included. If a Pearson partial correlation is requested, the descriptive statistics also include the partial variance and partial standard deviation.

If variable labels are available, PROC HPCORR labels the variables. If you specify the CSSCP, SSCP, or COV option, the appropriate sums of squares and crossproducts and covariance matrix appear at the top of the correlation report. If the data set contains missing values, PROC HPCORR prints additional statistics for each pair of variables.

These statistics, calculated from the observations that have nonmissing row and column variable values, might include the following:

  • SSCP('W','V'), uncorrected sums of squares and crossproducts

  • USS('W'), uncorrected sums of squares for the row variable

  • USS('V'), uncorrected sums of squares for the column variable

  • CSSCP('W','V'), corrected sums of squares and crossproducts

  • CSS('W'), corrected sums of squares for the row variable

  • CSS('V'), corrected sums of squares for the column variable

  • COV('W','V'), covariance

  • VAR('W'), variance for the row variable

  • VAR('V'), variance for the column variable

  • DF('W','V'), divisor for calculating covariance and variances

For each pair of variables, PROC HPCORR prints the correlation coefficients, the number of observations that are used to calculate the coefficient, and the p-value.