如何在r中的多次比较中将字符串变量传递给multcomp:：glht函数

我正在做单因素方差分析和事后多重比较。以mtcars数据集为例：

mtcars$cyl <- as.factor(mtcars$cyl)
aov<- aov(mpg~cyl, data=mtcars)
summary(multcomp::glht(aov, linfct=mcp(cyl='Dunnet')))

我认为问题来自在mcp函数中传递var。 我怎样才能解决这个问题？我试过：as.name（var）、eval（quote（var））。。。但是没有运气。。

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非常感谢您的帮助。

我们可以使用

do.call

方法

aov1 <- do.call("aov", list(formula = as.formula(paste('mpg~', var)), data = quote(mtcars)))
out2 <- summary(multcomp::glht(aov1, linfct = do.call(mcp, setNames(list("Dunnet"), var))))

aov1
Error in mcp2matrix(model, linfct = linfct) : Variable(s) ‘var’ have been specified in ‘linfct’ but cannot be found in ‘model’!

aov1 <- do.call("aov", list(formula = as.formula(paste('mpg~', var)), data = quote(mtcars)))
out2 <- summary(multcomp::glht(aov1, linfct = do.call(mcp, setNames(list("Dunnet"), var))))

out1 <- summary(multcomp::glht(aov, linfct=mcp(cyl='Dunnet')))
all.equal(aov, aov1)
#[1] TRUE

all.equal(out1, out2)
#[1] TRUE

f1 <- function(dat, Var){
      form1 <- formula(paste('mpg~', Var))
      model <- aov(form1, data = dat)
      model$call$formula <- eval(form1)
      model$call$data <- substitute(dat)
      summary(multcomp::glht(model, linfct = do.call(mcp, setNames(list("Dunnet"), Var))))

   }

f1(mtcars, var)