PROC NPAR1WAY: Output Data Set :: SAS/STAT(R) 9.3 User's Guide

Output Data Set

The OUTPUT statement creates a SAS data set that contains statistics computed by PROC NPAR1WAY. You specify which statistics to store in the output data set by using options identical to those in the PROC NPAR1WAY statement. When you specify one of these options in the OUTPUT statement, PROC NPAR1WAY includes all available statistics from that analysis in the output data set.

The output data set contains one observation for each analysis variable within a BY group. (You can name 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 containing the specified statistics

Table 64.5 lists the variable names and descriptions for all available statistics. Note that some statistics are available only for the two-sample case (where the CLASS variable groups the data into two classes); other statistics are available only for the multisample case.

If you request exact tests by using the EXACT statement, the output data set also includes exact p-values for those tests when you specify the corresponding options in the OUTPUT statement. If you do not request exact tests with the EXACT statement, the output data set does not include exact p-values.

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

Table 64.5 Output Data Set Variable Names and Descriptions
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
	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
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
	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
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+
	XP_Dm	*	Exact p-value, D-
	XPT_Dm	*	Exact point probability, D-
	XP_D	*	Exact p-value, D
	XPT_D	*	Exact point probability, D
	_CM_		Cramer-von Mises statistic
	_CMA_		Cramer-von Mises statistic (asymptotic)
	_K_	*	Kuiper two-sample statistic
	_KA_	*	Kuiper two-sample statistic (asymptotic)
	P_KA	*	p-value, two-sample Kuiper 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
	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
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
	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
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
	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
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
	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
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
	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
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
	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
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
	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
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
	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
$\text{[math]}$ Statistic included only for two-sample cases.
$\text{[math]}$ Statistic included only for multisample cases.

The NPAR1WAY Procedure