将 data.frame 的不同名称传递给函数

Question

我在这里缺少非常基本的知识。我看了很多例子，但无法弄清楚以下问题。

df1 <- data.frame(
  Rep = factor(rep(1:3, each = 4, times = 2)),
  Gen = rep(paste0("T", 1:4), times = 6),
  Env = rep(paste0("Loc", 1:2), each = 12), 
  Y   = rnorm(24)
)

GEMeans <- 
  function(data, G, E, Y){
    G   <- deparse(substitute(G))
    E   <- deparse(substitute(E))
    Y <- deparse(substitute(Y))

    Means <- 
    reshape2::acast(
        data          = data
      , formula       = data[[G]] ~  data[[E]]
      , fun.aggregate = mean
      , margins       = TRUE
      , value.var     = data[[Y]]
    )
    return(Means)
  }


GEMeans(df1, Gen, Env, Y)

Error in `[.data.frame`(df, vars) : undefined columns selected

Answer 1

稍微修改您对 acast 的调用即可解决问题。

GEMeans <- 
  function(data, G, E, Y){
    G   <- deparse(substitute(G))
    E   <- deparse(substitute(E))
    Y <- deparse(substitute(Y))
    Means <- 
    reshape2::acast(
        data          = data
      , formula       = as.formula(paste(G, E, sep = "~"))  # here
      , fun.aggregate = mean
      , margins       = TRUE
      , value.var     = Y    # and here
    )
    return(Means)
  }

试一试，有效。

将 data.frame 的不同名称传递给函数

Passing different names of a data.frame to function

r

function

reshape2