科恩的D与R中的对比度
科恩的D与R中的对比度
提问于 2020-05-19 07:12:13
有没有人能帮我理解一下如何从具有对比度的方差分析中计算出cohen's D？从向量或数据集计算cohen's D没有问题，但我不能从对比中找出如何计算。谢谢。
#Create data frame
group = c("treatment","treatment","treatment","treatment","treatment","treatment","treatment","treatment","treatment","treatment",
"control","control","control","control","control","control","control","control","control","control",
"other","other","other","other","other","other","other","other","other","other")
score = c(7,8,9,10,7,8,9,10,7,8,
6,5,4,6,5,4,6,5,4,6,
3,2,1,3,2,1,3,2,1,3)
sample =data.frame(group,score)
#Set contrasts
contrast = c(-1,0,1)
#Bind contrasts
contrasts(sample$group) = cbind(contrast)
#Check contrasts
contrasts(sample$group)
#Run ANOVA w/ contrasts
aov1 = aov(score ~ group, sample)
summary.lm(aov1)回答 1
Stack Overflow用户
回答已采纳
发布于 2020-05-19 09:37:03
计算科恩的D的函数至少在三个不同的R包中，包括effsize、rstatix和psych包。在aov()函数中没有专门用来计算科恩D的特性。
Cohen的D需要一个二分群变量。给定OP中的数据以及比较测试组和控制组的对比语句，我们将使用psych::cohen.d()比较测试组和控制组。
group = c("treatment","treatment","treatment","treatment","treatment","treatment","treatment","treatment","treatment","treatment",
"control","control","control","control","control","control","control","control","control","control",
"other","other","other","other","other","other","other","other","other","other")
score = c(7,8,9,10,7,8,9,10,7,8,
6,5,4,6,5,4,6,5,4,6,
3,2,1,3,2,1,3,2,1,3)
sample =data.frame(group,score)
sample2 <- sample[sample$group != "other",]
sample2$group <- factor(sample2$group)
library(psych)
cohen.d(score ~ group, data = sample2)对输出执行...and操作：
> cohen.d(score ~ group, data = sample2)
Cohen's d
d estimate: -3.114651 (large)
95 percent confidence interval:
lower upper
-4.512240 -1.717062 页面原文内容由Stack Overflow提供。腾讯云小微IT领域专用引擎提供翻译支持
原文链接：
https://stackoverflow.com/questions/61880546
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