The NPAR1WAY Procedure

Contents of the Output Data Set

The OUTPUT statement creates a SAS data set that contains statistics that PROC NPAR1WAY computes. You identify which statistics to store in the output data set by specifying output-options in the OUTPUT statement. For more information, see the description of the OUTPUT statement.

The output data set contains one observation for each analysis variable for each BY group. (You can specify the analysis variables in the VAR statement.) The OUTPUT data set includes the following variables:

  • BY variables, if you use a BY statement

  • _VAR_, which identifies the analysis variable

  • variables that contain the statistics

When you specify an output-option in the OUTPUT statement, the output data set contains the test statistic and associated values from the analysis that you specify. The associated values might include standardized statistics, one- and two-sided p-values, exact p-values, degrees of freedom, and confidence limits. If you request an exact test for the specified analysis by using the EXACT statement, the output data set includes the exact p-values. The statistics that are included also depend on the classification of the data. Some statistics are available only for two-sample data (where the CLASS variable groups the data into two classes); other statistics are available only for multisample data.

Table 5 lists variable names and descriptions or the statistics that are available in the output data set.

Monte Carlo estimates of exact p-values, multiple comparison statistics, and stratified analysis statistics are not available in this output data set. You can store any table that PROC NPAR1WAY produces in a SAS data set by using the Output Delivery System (ODS). For more information, see the section ODS Table Names and Chapter 23, Using the Output Delivery System.

Table 5: Output Data Set Variable Names and Descriptions

Output Option Output Variables Variable Descriptions
AB _AB_ * Two-sample Ansari-Bradley statistic
Z_AB * Ansari-Bradley statistic, standardized
PL_AB * p-value (left-sided), Ansari-Bradley test
PR_AB * p-value (right-sided), Ansari-Bradley test
P2_AB * p-value (two-sided), Ansari-Bradley test
XPL_AB * Exact p-value (left-sided), Ansari-Bradley test
XPR_AB * Exact p-value (right-sided), Ansari-Bradley test
XPT_AB * Exact point probability, Ansari-Bradley test
XMP_AB * Exact mid p-value, Ansari-Bradley test
XP2_AB * Exact p-value (two-sided), Ansari-Bradley test
_CHAB_ Ansari-Bradley chi-square
DF_CHAB Degrees of freedom, Ansari-Bradley chi-square
P_CHAB p-value, Ansari-Bradley chi-square test
XP_CHAB ** Exact p-value, Ansari-Bradley chi-square test
XPT_CHAB ** Exact point probability, Ansari-Bradley chi-square test
XMP_CHAB ** Exact mid p-value, Ansari-Bradley chi-square test
ANOVA _MSA_ ANOVA effect mean square, among MS
_MSE_ ANOVA error mean square, within MS
_F_ F statistic for ANOVA
P_F p-value, F statistic for ANOVA
CONOVER _CON_ * Two-sample Conover statistic
Z_CON * Conover statistic, standardized
PL_CON * p-value (left-sided), Conover test
PR_CON * p-value (right-sided), Conover test
P2_CON * p-value (two-sided), Conover test
XPL_CON * Exact p-value (left-sided), Conover test
XPR_CON * Exact p-value (right-sided), Conover test
XPT_CON * Exact point probability, Conover test
XMP_CON * Exact mid p-value, Conover test
XP2_CON * Exact p-value (two-sided), Conover test
_CHCON_ Conover chi-square
DF_CHCON Degrees of freedom, Conover chi-square
P_CHCON p-value, Conover chi-square test
XP_CHCON ** Exact p-value, Conover chi-square test
XPT_CHCO ** Exact point probability, Conover chi-square test
XMP_CHCON ** Exact mid p-value, Conover chi-square test
EDF _KS_ Kolmogorov-Smirnov statistic
_KSA_ Kolmogorov-Smirnov statistic (asymptotic)
_Dp_ * Two-sample Kolmogorov-Smirnov D+
P_Dp * p-value, D+
_Dm_ * Two-sample Kolmogorov-Smirnov D–
P_Dm * p-value, D–
_D_ * Two-sample Kolmogorov-Smirnov statistic D
P_KSA * p-value, D
XP_Dp * Exact p-value, D+
XPT_Dp * Exact point probability, D+
XMP_Dp * Exact mid p-value, D+
XP_Dm * Exact p-value, D–
XPT_Dm * Exact point probability, D–
XMP_Dm * Exact mid p-value, D–
XP_D * Exact p-value, D
XPT_D * Exact point probability, D
XMP_D * Exact mid p-value, D
_CM_ Cramér–von Mises statistic
_CMA_ Cramér–von Mises statistic (asymptotic)
_K_ * Kuiper two-sample statistic
_KA_ * Kuiper two-sample statistic (asymptotic)
P_KA * p-value, two-sample Kuiper test
FP _FP_ * Fligner-Policello statistic
PL_FP * p-value (left-sided), Fligner-Policello test
PR_FP * p-value (right-sided), Fligner-Policello test
P2_FP * p-value (two-sided), Fligner-Policello test
HL _HL_ * Hodges-Lehmann estimate, location shift
L_HL * Lower confidence limit, Hodges-Lehmann
U_HL * Upper confidence limit, Hodges-Lehmann
M_HL * Confidence limit midpoint, Hodges-Lehmann
E_HL * ASE of Hodges-Lehmann estimate
XL_HL * Exact lower confidence limit, Hodges-Lehmann
XU_HL * Exact upper confidence limit, Hodges-Lehmann
XM_HL * Exact confidence limit midpoint
KLOTZ _KLOTZ_ * Two-sample Klotz statistic
Z_K * Klotz statistic, standardized
PL_K * p-value (left-sided), Klotz test
PR_K * p-value (right-sided), Klotz test
P2_K * p-value (two-sided), Klotz test
XPL_K * Exact p-value (left-sided), Klotz test
XPR_K * Exact p-value (right-sided), Klotz test
XPT_K * Exact point probability, Klotz test
XMP_K * Exact mid p-value, Klotz test
XP2_K * Exact p-value (two-sided), Klotz test
_CHK_ Klotz chi-square
DF_CHK Degrees of freedom, Klotz chi-square
P_CHK p-value, Klotz chi-square test
XP_CHK ** Exact p-value, Klotz chi-square test
XPT_CHK ** Exact point probability, Klotz chi-square test
XMP_CHK ** Exact mid p-value, Klotz chi-square test
MEDIAN _MED_ * Two-sample median statistic
Z_MED * Median statistic, standardized
PL_MED * p-value (left-sided), median test
PR_MED * p-value (right-sided), median test
P2_MED * p-value (two-sided), median test
XPL_MED * Exact p-value (left-sided), median test
XPR_MED * Exact p-value (right-sided), median test
XPT_MED * Exact point probability, median test
XMP_MED * Exact mid p-value, median test
XP2_MED * Exact p-value (two-sided), median test
_CHMED_ Median chi-square (Brown-Mood test)
DF_CHMED Degrees of freedom, median chi-square
P_CHMED p-value, median chi-square test
XP_CHMED ** Exact p-value, median chi-square test
XPT_CHME ** Exact point probability, median chi-square test
XMP_CHMED ** Exact mid p-value, median chi-square test
MOOD _MOOD_ * Two-sample Mood statistic
Z_MOOD * Mood statistic, standardized
PL_MOOD * p-value (left-sided), Mood test
PR_MOOD * p-value (right-sided), Mood test
P2_MOOD * p-value (two-sided), Mood test
XPL_MOOD * Exact p-value (left-sided), Mood test
XPR_MOOD * Exact p-value (right-sided), Mood test
XPT_MOOD * Exact point probability, Mood test
XMP_MOOD * Exact mid p-value, Mood test
XP2_MOOD * Exact p-value (two-sided), Mood test
_CHMOOD_ Mood chi-square
DF_CHMOO Degrees of freedom, Mood chi-square
P_CHMOOD p-value, Mood chi-square test
XP_CHMOO ** Exact p-value, Mood chi-square test
XPT_CHMO ** Exact point probability, Mood chi-square test
XMP_CHMOOD ** Exact mid p-value, Mood chi-square test
RMD _RMD_ * Ratio mean deviations (RMD) statistic
XPL_RMD * Exact p-value (left-sided), RMD test
XPR_RMD * Exact p-value (right-sided), RMD test
XPT_RMD * Exact point probability, RMD test
XMP_RMD * Exact mid p-value, RMD test
_RMD2_ * RMD2 two-sided statistic
XP2_RMD * Exact p-value (two-sided), RMD test
SAVAGE _SAV_ * Two-sample Savage statistic
Z_SAV * Savage statistic, standardized
PL_SAV * p-value (left-sided), Savage test
PR_SAV * p-value (right-sided), Savage test
P2_SAV * p-value (two-sided), Savage test
XPL_SAV * Exact p-value (left-sided), Savage test
XPR_SAV * Exact p-value (right-sided), Savage test
XPT_SAV * Exact point probability, Savage test
XMP_SAV * Exact mid p-value, Savage test
XP2_SAV * Exact p-value (two-sided), Savage test
_CHSAV_ Savage chi-square
DF_CHSAV Degrees of freedom, Savage chi-square
P_CHSAV p-value, Savage chi-square test
XP_CHSAV ** Exact p-value, Savage chi-square test
XPT_CHSA ** Exact point probability, Savage chi-square test
XMP_CHSAV ** Exact mid p-value, Savage chi-square test
SCORES=DATA _DATA_ * Two-sample data scores statistic
Z_DATA * Data scores statistic, standardized
PL_DATA * p-value (left-sided), data scores test
PR_DATA * p-value (right-sided), data scores test
P2_DATA * p-value (two-sided), data scores test
XPL_DATA * Exact p-value (left-sided), data scores test
XPR_DATA * Exact p-value (right-sided), data scores test
XPT_DATA * Exact point probability, data scores test
XMP_DATA * Exact mid p-value, data scores test
XP2_DATA * Exact p-value (two-sided), data scores test
_CHDATA_ Data scores chi-square
DF_CHDAT Degrees of freedom, data scores chi-square
P_CHDATA p-value, data scores chi-square test
XP_CHDAT ** Exact p-value, data scores chi-square test
XPT_CHDA ** Exact point probability, data scores chi-square test
XMP_CHDATA ** Exact mid p-value, data scores chi-square test
ST _ST_ * Two-sample Siegel-Tukey statistic
Z_ST * Siegel-Tukey statistic, standardized
PL_ST * p-value (left-sided), Siegel-Tukey test
PR_ST * p-value (right-sided), Siegel-Tukey test
P2_ST * p-value (two-sided), Siegel-Tukey test
XPL_ST * Exact p-value (left-sided), Siegel-Tukey test
XPR_ST * Exact p-value (right-sided), Siegel-Tukey test
XPT_ST * Exact point probability, Siegel-Tukey test
XMP_ST * Exact mid p-value, Siegel-Tukey test
XP2_ST * Exact p-value (two-sided), Siegel-Tukey test
_CHST_ Siegel-Tukey chi-square
DF_CHST Degrees of freedom, Siegel-Tukey chi-square
P_CHST p-value, Siegel-Tukey chi-square test
XP_CHST ** Exact p-value, Siegel-Tukey chi-square test
XPT_CHST ** Exact point probability, Siegel-Tukey chi-square test
XMP_CHST ** Exact mid p-value, Siegel-Tukey chi-square test
VW | NORMAL _VW_ * Two-sample Van der Waerden statistic
Z_VW * Van der Waerden statistic, standardized
PL_VW * p-value (left-sided), Van der Waerden test
PR_VW * p-value (right-sided), Van der Waerden test
P2_VW * p-value (two-sided), Van der Waerden test
XPL_VW * Exact p-value (left-sided), Van der Waerden test
XPR_VW * Exact p-value (right-sided), Van der Waerden test
XPT_VW * Exact point probability, Van der Waerden test
XMP_VW * Exact mid p-value, Van der Waerden test
XP2_VW * Exact p-value (two-sided), Van der Waerden test
_CHVW_ Van der Waerden chi-square
DF_CHVW Degrees of freedom, Van der Waerden chi-square
P_CHVW p-value, Van der Waerden chi-square test
XP_CHVW ** Exact p-value, Van der Waerden chi-square test
XPT_CHVW ** Exact point probability, Van der Waerden chi-square test
XMP_CHVW ** Exact mid p-value, Van der Waerden chi-square test
WILCOXON _WIL_ * Two-sample Wilcoxon statistic
Z_WIL * Wilcoxon statistic, standardized
PL_WIL * p-value (left-sided), Wilcoxon test
PR_WIL * p-value (right-sided), Wilcoxon test
P2_WIL * p-value (two-sided), Wilcoxon test
PTL_WIL * p-value (left-sided), Wilcoxon t approximation
PTR_WIL * p-value (right-sided), Wilcoxon t approximation
PT2_WIL * p-value (two-sided), Wilcoxon t approximation
XPL_WIL * Exact p-value (left-sided), Wilcoxon test
XPR_WIL * Exact p-value (right-sided), Wilcoxon test
XPT_WIL * Exact point probability, Wilcoxon test
XMP_WIL * Exact mid p-value, Wilcoxon test
XP2_WIL * Exact p-value (two-sided), Wilcoxon test
_KW_ Kruskal-Wallis statistic
DF_KW Degrees of freedom, Kruskal-Wallis test
P_KW p-value, Kruskal-Wallis test
XP_KW ** Exact p-value, Kruskal-Wallis test
XPT_KW ** Exact point probability, Kruskal-Wallis test
XMP_KW ** Exact mid p-value, Kruskal-Wallis test
Superscript asteriskStatistic included only for two-sample data.
Superscript asterisk asteriskStatistic included only for multisample data.


Last updated: December 09, 2022