路过，留下我的背影。

多维的，bon ，dun，reg 额。。

不是说多维的均向量的比较哦
是一维的哦

Proc npar1way performs nonparametric tests in a one factor model having 2 or more levels. Proc univariate can be used in the case of a single sample. Example:


proc npar1way
        data=stuff
        anova
        edf
        median
        wilcoxon;
class litter;                /* REQUIRED */
var weight height;
run;


The data=stuff option selects the SAS data set to be analyzed.

The anova option performs a one way ANOVA using the values of the class variable to define the populations.

The edf option calculates statistics based on the empirical distribution function. The Kolmogorov-Smirnov and Cramer-von Mises statistics are always calculated. If there are only 2 populations (as determined by the value of the class variable) the Kuiper statistic is also computed.

The median option performs the median or Brown-Mood test, depending on the number of populations.

The wilcoxon performs the Wilcoxon rank sum test or the Kruskal- Wallis test, depending on the number of populations.

The REQUIRED class statement specifies exactly one variable in the data set. The values of this variable are used to determine the population from which the corresponding observation comes. This variable MUST take at least 2 different values.

The optional var statement specifies the response variables which are to be analyzed. If the statement is omitted, all numeric variables in the data set are used.

PROC NPAR1WAY data=t62 wilcoxon;
CLASS grp;
VAR y;
TITLE1 'Nonparametric Analysis: Kruskall Wallis stat';
run;