考虑下面的玩具代码(纯粹是说明性的):
y <- data.frame(matrix(c(11,12,13,14,113,124,215,219),nrow=4));
y[,2] <- factor(y[,2]);
aov.result <- aov(y$X1 ~ y$X2, data=y);
thsd.result <- TukeyHSD(aov.result); # Produces NaNs but nevermind
fix(thsd.result)
最后一个命令(fix)显示thsd.result对象是一个包含列表和嵌套结构的结构:
structure(list(`df$X2` = structure(c(1, 2, 3, 1, 2, 1, NaN, NaN,
NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN,
NaN, NaN, NaN), .Dim = c(6L, 4L), .Dimnames = list(c("124-113",
"215-113", "219-113", "215-124", "219-124", "219-215"), c("diff",
"lwr", "upr", "p adj")))), .Names = "df$X2", class = c("multicomp",
"TukeyHSD"), orig.call = quote(aov(formula = df$X1 ~ df$X2, data = df)), conf.level =
0.95, ordered = FALSE);
我的问题是:我将如何访问此结构?即例如,我将如何获得由对组成的.Dimnames?
答案 0 :(得分:0)
dimnames(thsd.result[[1]])
和此:
> rownames(thsd.result[[1]])
[1] "124-113" "215-113" "219-113" "215-124" "219-124" "219-215"
> colnames(thsd.result[[1]])
[1] "diff" "lwr" "upr" "p adj"
获取结果只需使用[[]]
访问它。
查看打印的结果:
thsd.result[[1]]
和thsd.result[[1]][,1]