Rem*_*y M 2 r confidence-interval
我试图在R中获得Bonferroni同时置信区间.我有以下数据集,我为实践做了补充:
df2 <- read.table(textConnection(
'group value
1 25
2 36
3 42
4 50
1 27
2 35
3 49
4 57
1 22
2 37
3 45
4 51'), header = TRUE)
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我试过了
aov(formula = value ~ group, data = df2)
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但是,这不会同时输出置信区间.使用SAS,计算结果如下:
似乎存在一些概念/编码错误.
df$group需要是您的ANOVA工作的分类变量.目前它是数字.以下是使用R包DescTools的示例,基于您提供的示例数据:
# Step 1: Make sure that group is a factor
df2$group <- as.factor(df2$group);
# Step 2: Perform ANOVA
res <- aov(formula = value ~ group, data = df2)
# Step 3: Perform post-hoc analysis
require(DescTools);
PostHocTest(res, method = "bonferroni");
#
# Posthoc multiple comparisons of means : Bonferroni
# 95% family-wise confidence level
#
#$group
# diff lwr.ci upr.ci pval
#2-1 11.333333 3.0519444 19.61472 0.00855 **
#3-1 20.666667 12.3852778 28.94806 0.00014 ***
#4-1 28.000000 19.7186111 36.28139 1.5e-05 ***
#3-2 9.333333 1.0519444 17.61472 0.02648 *
#4-2 16.666667 8.3852778 24.94806 0.00067 ***
#4-3 7.333333 -0.9480556 15.61472 0.09062 .
#
#---
#Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
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报告的组均值和置信区间之间的差异与您给出的SAS编号相符.