oneway.test(weight~group,data = PlantGrowth,var.equal = F)# “var.equal = F” 表示两样本方差不同(缺省状态,默认状态),“var.equal = T”表示方差相同# 由于前面检验了方差齐性,是相当的。因此,这里结果与上面aov的结果相同。 多重比较 这里介绍两种LSD.test()和Duncan() 函数 #1 LSD.test library...
the Welch’s t-test, which is less restrictive compared to the original Student’s test. This is the test where you do not assume that the variance is the same in the two groups, which results in the fractional degrees of freedom. The two methods give very similar re...
Two Functions with Same Name in Different Packages Check If Two Data Frames are the Same All R Programming ExamplesThis article has demonstrated how to test if two grouping factors contain identical groups in the R programming language. Don’t hesitate to let me know in the comments section, ...
k是组数,其余的和t检验的相同。 首先我们要计算f值,但是根据这个公式,很明显是计算不出来的! 如果使用R自带函数power.anova.test(groups = NULL, n = NULL, between.var = NULL, within.var = NULL,sig.level = 0.05, power = NULL)函数计算,因为无法计算within.var,所以也是行不通的。 还是乖乖用PASS吧...
levene_test(): Pipe-friendly framework to easily compute Levene’s test for homogeneity of variance across groups. Handles grouped data. box_m(): Box’s M-test for homogeneity of covariance matrices 效应值 cohens_d(): Compute cohen’s d measure of effect size for t-tests. eta_squared()...
R函数var.test()可用于比较两个方差,如下所示: # 方法1 var.test(values ~ groups, data, alternative = "two.sided") # 方法2 var.test(x, y, alternative = "two.sided") x,y:数值向量 alternative:备择假设。允许值为“two.sided”(默认),“greater”或“less”之一。 4.2将数据导入R中 在这里...
下面用t检验看看匹配后干预组和对照组的x.Age有没有差异: t.test(x.Age ~ Smoke, data = mdata) ## ## Welch Two Sample t-test ## ## data: x.Age by Smoke ## t = 0.25327, df = 503.47, p-value = 0.8002 ## alternative hypothesis: true difference in means between group 0 and group...
k是组数,其余的和t检验的相同。 首先我们要计算f值,但是根据这个公式,很明显是计算不出来的! 如果使用R自带函数power.anova.test(groups = NULL, n = NULL, between.var = NULL, within.var = NULL,sig.level = 0.05, power = NULL)函数计算,因为无法计算within.var,所以也是行不通的。
levene_test(): Pipe-friendly framework to easily compute Levene's test for homogeneity of variance across groups. box_m(): Box's M-test for homogeneity of covariance matrices 计算效应量 cohens_d(): Compute cohen's d measure of effect size for t-tests. ...
##1443214two_groups<-c("Naive CD4 T","Memory CD4 T")sce.sub=sce.all[,Idents(sce.all)%in%two_groups]# 挑选细胞 ##2生成差异表达基因 sce.markers=FindMarkers(object=sce.sub,ident.1=two_groups[1],ident.2=two_groups[2],test.use='MAST')##MAST在单细胞领域较为常用 ...