r - Formula evaluation with mutate()

Question

Is there a way to make mutate() evaluate formulas in (d)plyr package of R? I think of situations where one has many variables like count.a, count.b, ..., count.z and I would like to create a new variable to sum all these. I can create a character string like "count.total = count.a + count.b + (...) + count.z", but how to make mutate() evaluate it?

Answer 1

如果你想要表达式输入

library(dplyr)
df = data.frame(x = 1:10, y = 2:11)

f = function(df, s){
    eval(substitute(mutate(df, z = s)))
}
f(df, x-y)
f(df, x+y)

如果你想输入字符

g = function(df, s){
    q = quote(mutate(df, z = s))
    eval(parse(text=sub("s", s, deparse(q))))
}
g(df, "x-y")
g(df, "x+y")

---

您还可以修改函数以将名称z作为输入。

表达式输入：f1将所有额外参数传递给mutate，f2仅将一个参数传递给mutate。

f1 = function(df, ...){
    mutate(df, ...)
}
f1(df, a = x-y)


f2 = function(df, ...){
    dots = substitute(alist(...))
    var = names(dots)[2]
    cal = as.call(list(quote(mutate), quote(df)))
    cal[var] = dots[2]
    eval(cal)
}
f2(df, a = x-y)

同样，如果您想使用字符输入

g1 = function(df, s){
    q = quote(mutate(df, z = s))
    eval(parse(text=sub("z = s", s, deparse(q))))
}
g1(df, "a=x-y")
g1(df, "w=x+y")