Contents of the Output Data Set :: SAS/STAT(R) 13.1 User's Guide

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. See the description of the OUTPUT statement for more information.

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 69.5 lists variable names and descriptions for the statistics that are available in the output data set.

Monte Carlo estimates of exact p-values are not available in this output data set. You can store Monte Carlo estimates in a SAS data set by using the Output Delivery System (ODS). ODS can create a SAS data set from any table that PROC NPAR1WAY produces. For more information, see the section ODS Table Names and Chapter 20: Using the Output Delivery System.

Table 69.5: 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
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
$^*$ Statistic included only for two-sample cases.
$^{**}$ Statistic included only for multisample cases.

The NPAR1WAY Procedure

Contents of the Output Data Set