wilcox.test(x,y) wilcox.test(x,y,exact=F) wilcox.test(x,y,exact=F,cor=F) wilcox.test(x,y,exact=F,alt="less") wilcox.test(x,y,exact=F,alt="less",cor=F) median(outer(x,y,"-")) D=sort(as.vector(outer(x,y,"-"))) qwilcox(0.025,m,n) D[76] D[m*n+1-76] 1. 2...
如果用C表示上面表中的矩阵 那么,可以用R软件的函数fisher.test(C,alt=〃less〃)得到和上面两样的p值。 可以看出,前面2×2表中a较大等价于m-a较小,b较大等价于n-b较小,也就是说,根据形成2×2表时的对称性(即行列可互换,行间及列间可互换),用a,b, m-a, n-b的任何一个数目都可以根据超几何分布...
30，50.GroupStatistics Std.ErrorgroupNMeSatnd.DeviatiMoneanX1.001221.250104.353449.143502.00103.200105.046549.75815 IndependentSamplesTest Levene'sTestforEqualityofVariances t-testforEqualityofMeans FSig.tXEqualvariances assumed.069.7961.282 95%ConfidenceIntervalofthe MeanStd.ErroDrifferencedSfig.(2-...
p=phyper(b,n,m,a+b) p 1 0.01498656 ,若想利用Fisher精确检验,即可用如下程序:d=c(a,m-a,b,n-b);d 1 9 3 2 8 c=matrix(d,nrow=2);c ,1 ,2 1, 9 2 2, 3 8 fisher.test(c,alt=greater),Fishers Exact Test for Count Data data: c p-value = 0.01499 alternative hypothesis: ...
p=phyper(b,n,m,a+b) p [1] 0 ;若想利用Fisher精确检验,即可用如下程序:d=c(a,m-a,b,n-b);d [1] 9 3 2 8 c=matrix(d,nrow=2);c [,1] [,2] [1,] 9 2 [2,] 3 8 fisher.test(c,alt=greater) ; Fishers Exact Test for Count Data data: c p-value = 0.01499 alternative ...
>c=matrix(d,nrow=2);c [,1][,2] [1,]92 [2,]38 >fisher.test(c,alt="greater") Fisher'sExactTestforCountData data:c p-value=0.01499 alternativehypothesis:trueoddsratioisgreaterthan1 95percentconfidenceinterval: 1.544828Inf sampleestimates: oddsratio 10.40372...
Brown-Mood检验 ###Brown-Mood中位数检验(精确检验,正态近似,连续性修正后的正态近似) BM.test=function(x,y,alt) #alt:备择假设形式 { xy=c(x,y) md.xy=median(xy) t=sum(xy>md.xy) lx=length(x[x!=md.xy]) ly=length(y[y!=md.xy])...
Median Test, Brown–Mooddoi:10.1002/0471667196.ess0181J.D. GibbonsAmerican Cancer SocietyGibbons, J. (2004). Median Test, BrownMood. John Wiley & Sons, Inc.
3.1 两样本和多样本的Brown-Mood 中位数
3.1 两样本和多样本的Brown-Mood 中位数