R 通过另一个函数将数据和列名传递给ggplot

我将直接跳到一个示例，并在后面评论：

cont <- data.frame(value = c(1:20),variable = c(1:20,(1:20)^1.5,(1:20)^2),group=rep(c(1,2,3),each=20))

   value   variable group
1       1  1.000000     1
2       2  2.000000     1
3       3  3.000000     1
#... etc.

#ser is shorthand for "series".
plot_scat <- function(data,x,y,ser) {
        ggplot(data,aes(x=x,y=y,color=factor(ser)))+geom_point()
}

plot_scat(cont,value,variable,group)
#This gives the error:
#Error in eval(expr,envir,enclose) : object 'x' not found

这就是我想要的。因此，我添加了下一层复杂性：

plot_scat <- function(data,x,y,ser) {
        #added facet_grid
        ggplot(data,aes(x=x,y=y,color=factor(ser)),environment=environment())+geom_point()+
        facet_grid(.~ser)
}

plot_scat(cont,cont$value,cont$variable,cont$group)
#This gives the error:
#Error in layout_base(data, cols, drop = drop):
#   At least one layer must contain all variables used for facetting

plot_scat您可以使用aes_string（）代替aes（），并将列名作为字符串传递

plot_scat <- function(data,x,y,ser) {
ser_col = paste("factor(",ser,")")
ggplot(data,aes_string(x=x,y=y,col=ser_col))+geom_point()+facet_grid(as.formula(sprintf('~%s',ser)))
}

plot_scat(cont,"value","variable","group") 

plot\u scat如果您不想将变量（列名）作为字符串/引号传递，那么我尝试的一种方法（另请参见）是使用
match.call（）
和
eval
。它也适用于镶嵌面（如您的情况）：

由（v0.2.1）于2019-01-10创建


或者，另一种解决方法是使用
get（）

plot\u scat
plot_scat <- function(data,x,y,ser) {
        #added facet_grid
        ggplot(data,aes(x=x,y=y,color=factor(ser)),environment=environment())+geom_point()+
        facet_grid(.~ser)
}

plot_scat(cont,cont$value,cont$variable,cont$group)
#This gives the error:
#Error in layout_base(data, cols, drop = drop):
#   At least one layer must contain all variables used for facetting

plot_scat <- function(data,x,y,ser) {
ser_col = paste("factor(",ser,")")
ggplot(data,aes_string(x=x,y=y,col=ser_col))+geom_point()+facet_grid(as.formula(sprintf('~%s',ser)))
}

plot_scat(cont,"value","variable","group") 

library(ggplot2)

cont <- data.frame( value = c(1:20),
                    variable = c(1:20, (1:20) ^ 1.5, (1:20) ^ 2),
                    group = rep(c(1, 2, 3), each = 20))


plot_scat <- function(data, x, y, ser) {
    arg <- match.call()
    ggplot(data, aes(x = eval(arg$x),
                     y = eval(arg$y),
                     color = factor(eval(arg$ser)))) +
        geom_point() +
        facet_grid(. ~ eval(arg$ser))
}

# Call your custom function without quoting the variables
plot_scat(data = cont, x = value, y = variable, ser = group)

plot_scat <- function(data, x, y, ser) {
  str(as.list(match.call()))
}
plot_scat(cont, value, variable, group)
#> List of 5
#>  $     : symbol plot_scat
#>  $ data: symbol cont
#>  $ x   : symbol value
#>  $ y   : symbol variable
#>  $ ser : symbol group

plot_scat <- function(data, x, y, ser) {
    ggplot(data, aes(x = get(x),
                     y = get(y),
                     color = factor(get(ser)))) +
      geom_point() +
      facet_grid(. ~ get(ser))
  }

plot_scat(data = cont, x = "value", y = "variable", ser = "group")