函数对相似的公式输入有不同的反应
Function responds differently to similar formula imput
我正在使用这个函数，但我在以下行中收到错误：
X <- cbind(`(Intercept)`=1, DATA[, c(vn$s1[1], vn$s2[-(1:2)]), F])
编辑：这行可能出错了：
vn <- lapply(list(s1=s1, s2=s2), function(s)
c(all.vars(s$call)[1], colnames(model.matrix(s))[-1]))
函数（数据在底部）：
library(AER)
somefun <- function(s1, s2, data, type=2) {
## turn factor variables into dummies
DATA <- as.data.frame(model.matrix(phantom ~ ., transform(data, phantom=0)))
## list variable names
vn <- lapply(list(s1=s1, s2=s2), function(s)
c(all.vars(s$call)[1], colnames(model.matrix(s))[-1]))
## auxilliary model matrix
print(vn$s1[1])
print(vn$s2[-(1:2)])
X <- cbind(`(Intercept)`=1, DATA[, c(vn$s1[1], vn$s2[-(1:2)]), F])
## get y
y <- DATA[, vn$s2[1]]
}
当我运行这样时，它工作正常：
s1 <- AER::tobit(taxrate ~ votewon + industry + size + urbanisation + vote,
left=12, right=33, data=DF)
s2 <- lm(sales ~ yhat + industry + size + urbanisation + vote, data=DF)
res <- somefun(s1, s2, DF)
当我运行这样的时候，它坏了：
form_1st <- as.formula("taxrate ~ votewon + industry + size + urbanisation + vote")
form_2nd <- as.formula("sales ~ yhat + industry + size + urbanisation + vote")
s1 <- AER::tobit(form_1st,
left=12, right=33, data=DF)
s2 <- lm(form_2nd , data=DF)
res <- somefun(s1, s2, DF)
Error in `[.data.frame`(DATA, , vn$s2[1]) : undefined columns selected
即使打印的列（从函数内）相同。为什么会发生这种情况，我该如何解决？
编辑：我根据不起作用的答案尝试了几件事：
# Before creating vn
s2$call$formula <- all.vars(eval(s2$call$formula))
Error in s2$call$formula <- all.vars(eval(s2$call$formula)) :
object 's2' not found
# Aftercreating vn
vn[["s2"]] <- all.vars(eval(s2$call$formula))
vn[[2]] <- all.vars(eval(s2$call$formula))
Error in vn[[2]] <- all.vars(eval(s2$call$formula)) :
object 'vn' not found
# While creating vn
vn <- lapply(list(s1=s1, s2=s2), function(s)
c(all.vars(eval(s$call))[1], colnames(model.matrix(s))[-1]))
数据
DF <- structure(list(country = c("C", "C", "C", "C", "J", "J", "B",
"B", "F", "F", "E", "E", "D", "D", "F", "F", "I", "I", "J", "J",
"E", "E", "C", "C", "I", "I", "I", "I", "I", "I", "C", "C", "H",
"H", "J", "J", "G", "G", "J", "J", "I", "I", "C", "C", "D", "D",
"A", "A", "G", "G", "E", "E", "J", "J", "G", "G", "I", "I", "I",
"I", "J", "J", "G", "G", "E", "E", "G", "G", "E", "E", "F", "F",
"I", "I", "B", "B", "E", "E", "H", "H", "B", "B", "A", "A", "I",
"I", "I", "I", "F", "F", "E", "E", "I", "I", "J", "J", "D", "D",
"F", "F"), year = c(2005, 2010, 2010, 2005, 2005, 2010, 2010,
2005, 2010, 2005, 2005, 2010, 2010, 2005, 2005, 2010, 2005, 2010,
2005, 2010, 2010, 2005, 2010, 2005, 2005, 2010, 2005, 2010, 2010,
2005, 2010, 2005, 2005, 2010, 2010, 2005, 2005, 2010, 2005, 2010,
2005, 2010, 2005, 2010, 2010, 2005, 2005, 2010, 2010, 2005, 2010,
2005, 2010, 2005, 2010, 2005, 2010, 2005, 2010, 2005, 2010, 2005,
2010, 2005, 2010, 2005, 2010, 2005, 2005, 2010, 2005, 2010, 2005,
2010, 2005, 2010, 2005, 2010, 2005, 2010, 2010, 2005, 2005, 2010,
2005, 2010, 2010, 2005, 2010, 2005, 2010, 2005, 2005, 2010, 2005,
2010, 2010, 2005, 2010, 2005), sales = c(15.48, 12.39, 3.72,
23.61, 4, 31.87, 25.33, 7.64, -0.26, 2.9, 15.48, 12.39, 3.72,
23.61, 4, 31.87, 25.33, 7.64, -0.26, 2.9, 15.48, 12.39, 3.72,
23.61, 4, 31.87, 25.33, 7.64, -0.26, 2.9, 15.48, 12.39, 3.72,
23.61, 4, 31.87, 25.33, 7.64, -0.26, 2.9, 15.48, 12.39, 3.72,
23.61, 4, 31.87, 25.33, 7.64, -0.26, 2.9, 15.48, 12.39, 3.72,
23.61, 4, 31.87, 25.33, 7.64, -0.26, 2.9, 15.48, 12.39, 3.72,
23.61, 4, 31.87, 25.33, 7.64, -0.26, 2.9, 15.48, 12.39, 3.72,
23.61, 4, 31.87, 25.33, 7.64, -0.26, 2.9, 15.48, 12.39, 3.72,
23.61, 4, 31.87, 25.33, 7.64, -0.26, 2.9, 15.48, 12.39, 3.72,
23.61, 4, 31.87, 25.33, 7.64, -0.26, 2.9), industry = c("D",
"D", "E", "E", "F", "F", "F", "F", "D", "D", "E", "E", "D", "D",
"E", "E", "F", "F", "F", "F", "D", "D", "F", "F", "E", "E", "D",
"D", "D", "D", "E", "E", "F", "F", "D", "D", "E", "E", "E", "E",
"D", "D", "E", "E", "D", "D", "D", "D", "E", "E", "D", "D", "F",
"F", "D", "D", "D", "D", "E", "E", "D", "D", "E", "E", "D", "D",
"D", "D", "D", "D", "F", "F", "F", "F", "E", "E", "D", "D", "E",
"E", "F", "F", "E", "E", "F", "F", "E", "E", "F", "F", "D", "D",
"D", "D", "D", "D", "D", "D", "F", "F"), urbanisation = c("B",
"B", "A", "A", "B", "B", "A", "A", "C", "C", "C", "C", "A", "A",
"B", "B", "C", "C", "A", "A", "C", "C", "B", "B", "A", "A", "A",
"A", "A", "A", "A", "A", "A", "A", "C", "C", "B", "B", "B", "B",
"B", "B", "C", "C", "A", "A", "B", "B", "B", "B", "A", "A", "B",
"B", "A", "A", "A", "A", "B", "B", "C", "C", "A", "A", "C", "C",
"A", "A", "B", "B", "A", "A", "B", "B", "B", "B", "B", "B", "C",
"C", "A", "A", "A", "A", "A", "A", "A", "A", "C", "C", "A", "A",
"B", "B", "A", "A", "B", "B", "B", "B"), size = c(1, 1, 5, 5,
5, 5, 1, 1, 1, 1, 5, 5, 5, 5, 2, 2, 2, 2, 5, 5, 1, 1, 1, 1, 5,
5, 5, 5, 4, 4, 5, 5, 5, 5, 4, 4, 2, 2, 5, 5, 1, 1, 1, 1, 2, 2,
1, 1, 2, 2, 5, 5, 1, 1, 3, 3, 2, 2, 2, 2, 5, 5, 4, 4, 1, 1, 5,
5, 2, 2, 5, 5, 2, 2, 2, 2, 4, 4, 3, 3, 4, 4, 3, 3, 3, 3, 3, 3,
5, 5, 3, 3, 2, 2, 3, 3, 1, 1, 5, 5), base_rate = c(14L, 14L,
14L, 14L, 19L, 19L, 30L, 30L, 20L, 20L, 29L, 29L, 20L, 20L, 20L,
20L, 24L, 24L, 19L, 19L, 29L, 29L, 14L, 14L, 24L, 24L, 24L, 24L,
24L, 24L, 14L, 14L, 17L, 17L, 19L, 19L, 33L, 33L, 19L, 19L, 24L,
24L, 14L, 14L, 20L, 20L, 23L, 23L, 33L, 33L, 29L, 29L, 19L, 19L,
33L, 33L, 24L, 24L, 24L, 24L, 19L, 19L, 33L, 33L, 29L, 29L, 33L,
33L, 29L, 29L, 20L, 20L, 24L, 24L, 30L, 30L, 29L, 29L, 17L, 17L,
30L, 30L, 23L, 23L, 24L, 24L, 24L, 24L, 20L, 20L, 29L, 29L, 24L,
24L, 19L, 19L, 20L, 20L, 20L, 20L), taxrate = c(12L, 14L, 14L,
12L, 21L, 18L, 30L, 30L, 20L, 20L, 29L, 30L, 20L, 20L, 20L, 20L,
24L, 24L, 21L, 18L, 30L, 29L, 14L, 12L, 24L, 24L, 24L, 24L, 24L,
24L, 14L, 12L, 18L, 19L, 18L, 21L, 33L, 32L, 21L, 18L, 24L, 24L,
12L, 14L, 20L, 20L, 22L, 25L, 32L, 33L, 30L, 29L, 18L, 21L, 32L,
33L, 24L, 24L, 24L, 24L, 18L, 21L, 32L, 33L, 30L, 29L, 32L, 33L,
29L, 30L, 20L, 20L, 24L, 24L, 30L, 30L, 29L, 30L, 18L, 19L, 30L,
30L, 22L, 25L, 24L, 24L, 24L, 24L, 20L, 20L, 30L, 29L, 24L, 24L,
21L, 18L, 20L, 20L, 20L, 20L), vote = c(0, 0, 0, 0, 1, 1, 1,
0, 1, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 0, 0, 1, 0, 1,
1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 0, 1, 0, 0, 1, 1,
1, 0, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 1, 0,
1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0,
1, 0, 1, 1, 1, 1, 0, 1, 1), votewon = c(0, 0, 0, 0, 1, 0, 1,
0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1,
1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1,
0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0,
1, 1, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0,
0, 0, 1, 1, 0, 1, 0, 1, 1)), class = "data.frame", row.names = c(NA,
-100L))
## convert variables to factors beforehand
DF[c(1, 2, 4, 5, 6, 9, 10)] <- lapply(DF[c(1, 2, 4, 5, 6, 9, 10)], factor)
问题：如果将公式对象传递给模型，则模型对象会将公式对象的名称存储在 foo$call$formula 槽中。这就是导致你错误的原因。您可以通过调用 all.vars(eval(foo$call$formula)) 来修复它 这是一个示例：
form <- formula(y~x)
lm1 <- lm(y~x, data.frame(y = rnorm(10), x = rnorm(10)))
lm2 <- lm(form, data.frame(y = rnorm(10), x = rnorm(10)))
all.vars(lm1$call)
# returns: "y" "x"
all.vars(lm2$call)
# returns: "form"
lm1$call$formula
# returns: y ~ x
lm2$call$formula
# returns: form
eval(lm1$call$formula)
# returns: y ~ x
eval(lm2$call$formula)
# returns: y ~ x
all.vars(eval(lm1$call$formula))
# returns: "y" "x"
all.vars(eval(lm2$call$formula))
# returns: "y" "x"
我正在使用这个函数，但我在以下行中收到错误：
X <- cbind(`(Intercept)`=1, DATA[, c(vn$s1[1], vn$s2[-(1:2)]), F])
编辑：这行可能出错了：
vn <- lapply(list(s1=s1, s2=s2), function(s)
c(all.vars(s$call)[1], colnames(model.matrix(s))[-1]))
函数（数据在底部）：
library(AER)
somefun <- function(s1, s2, data, type=2) {
## turn factor variables into dummies
DATA <- as.data.frame(model.matrix(phantom ~ ., transform(data, phantom=0)))
## list variable names
vn <- lapply(list(s1=s1, s2=s2), function(s)
c(all.vars(s$call)[1], colnames(model.matrix(s))[-1]))
## auxilliary model matrix
print(vn$s1[1])
print(vn$s2[-(1:2)])
X <- cbind(`(Intercept)`=1, DATA[, c(vn$s1[1], vn$s2[-(1:2)]), F])
## get y
y <- DATA[, vn$s2[1]]
}
当我运行这样时，它工作正常：
s1 <- AER::tobit(taxrate ~ votewon + industry + size + urbanisation + vote,
left=12, right=33, data=DF)
s2 <- lm(sales ~ yhat + industry + size + urbanisation + vote, data=DF)
res <- somefun(s1, s2, DF)
当我运行这样的时候，它坏了：
form_1st <- as.formula("taxrate ~ votewon + industry + size + urbanisation + vote")
form_2nd <- as.formula("sales ~ yhat + industry + size + urbanisation + vote")
s1 <- AER::tobit(form_1st,
left=12, right=33, data=DF)
s2 <- lm(form_2nd , data=DF)
res <- somefun(s1, s2, DF)
Error in `[.data.frame`(DATA, , vn$s2[1]) : undefined columns selected
即使打印的列（从函数内）相同。为什么会发生这种情况，我该如何解决？
编辑：我根据不起作用的答案尝试了几件事：
# Before creating vn
s2$call$formula <- all.vars(eval(s2$call$formula))
Error in s2$call$formula <- all.vars(eval(s2$call$formula)) :
object 's2' not found
# Aftercreating vn
vn[["s2"]] <- all.vars(eval(s2$call$formula))
vn[[2]] <- all.vars(eval(s2$call$formula))
Error in vn[[2]] <- all.vars(eval(s2$call$formula)) :
object 'vn' not found
# While creating vn
vn <- lapply(list(s1=s1, s2=s2), function(s)
c(all.vars(eval(s$call))[1], colnames(model.matrix(s))[-1]))
数据
DF <- structure(list(country = c("C", "C", "C", "C", "J", "J", "B",
"B", "F", "F", "E", "E", "D", "D", "F", "F", "I", "I", "J", "J",
"E", "E", "C", "C", "I", "I", "I", "I", "I", "I", "C", "C", "H",
"H", "J", "J", "G", "G", "J", "J", "I", "I", "C", "C", "D", "D",
"A", "A", "G", "G", "E", "E", "J", "J", "G", "G", "I", "I", "I",
"I", "J", "J", "G", "G", "E", "E", "G", "G", "E", "E", "F", "F",
"I", "I", "B", "B", "E", "E", "H", "H", "B", "B", "A", "A", "I",
"I", "I", "I", "F", "F", "E", "E", "I", "I", "J", "J", "D", "D",
"F", "F"), year = c(2005, 2010, 2010, 2005, 2005, 2010, 2010,
2005, 2010, 2005, 2005, 2010, 2010, 2005, 2005, 2010, 2005, 2010,
2005, 2010, 2010, 2005, 2010, 2005, 2005, 2010, 2005, 2010, 2010,
2005, 2010, 2005, 2005, 2010, 2010, 2005, 2005, 2010, 2005, 2010,
2005, 2010, 2005, 2010, 2010, 2005, 2005, 2010, 2010, 2005, 2010,
2005, 2010, 2005, 2010, 2005, 2010, 2005, 2010, 2005, 2010, 2005,
2010, 2005, 2010, 2005, 2010, 2005, 2005, 2010, 2005, 2010, 2005,
2010, 2005, 2010, 2005, 2010, 2005, 2010, 2010, 2005, 2005, 2010,
2005, 2010, 2010, 2005, 2010, 2005, 2010, 2005, 2005, 2010, 2005,
2010, 2010, 2005, 2010, 2005), sales = c(15.48, 12.39, 3.72,
23.61, 4, 31.87, 25.33, 7.64, -0.26, 2.9, 15.48, 12.39, 3.72,
23.61, 4, 31.87, 25.33, 7.64, -0.26, 2.9, 15.48, 12.39, 3.72,
23.61, 4, 31.87, 25.33, 7.64, -0.26, 2.9, 15.48, 12.39, 3.72,
23.61, 4, 31.87, 25.33, 7.64, -0.26, 2.9, 15.48, 12.39, 3.72,
23.61, 4, 31.87, 25.33, 7.64, -0.26, 2.9, 15.48, 12.39, 3.72,
23.61, 4, 31.87, 25.33, 7.64, -0.26, 2.9, 15.48, 12.39, 3.72,
23.61, 4, 31.87, 25.33, 7.64, -0.26, 2.9, 15.48, 12.39, 3.72,
23.61, 4, 31.87, 25.33, 7.64, -0.26, 2.9, 15.48, 12.39, 3.72,
23.61, 4, 31.87, 25.33, 7.64, -0.26, 2.9, 15.48, 12.39, 3.72,
23.61, 4, 31.87, 25.33, 7.64, -0.26, 2.9), industry = c("D",
"D", "E", "E", "F", "F", "F", "F", "D", "D", "E", "E", "D", "D",
"E", "E", "F", "F", "F", "F", "D", "D", "F", "F", "E", "E", "D",
"D", "D", "D", "E", "E", "F", "F", "D", "D", "E", "E", "E", "E",
"D", "D", "E", "E", "D", "D", "D", "D", "E", "E", "D", "D", "F",
"F", "D", "D", "D", "D", "E", "E", "D", "D", "E", "E", "D", "D",
"D", "D", "D", "D", "F", "F", "F", "F", "E", "E", "D", "D", "E",
"E", "F", "F", "E", "E", "F", "F", "E", "E", "F", "F", "D", "D",
"D", "D", "D", "D", "D", "D", "F", "F"), urbanisation = c("B",
"B", "A", "A", "B", "B", "A", "A", "C", "C", "C", "C", "A", "A",
"B", "B", "C", "C", "A", "A", "C", "C", "B", "B", "A", "A", "A",
"A", "A", "A", "A", "A", "A", "A", "C", "C", "B", "B", "B", "B",
"B", "B", "C", "C", "A", "A", "B", "B", "B", "B", "A", "A", "B",
"B", "A", "A", "A", "A", "B", "B", "C", "C", "A", "A", "C", "C",
"A", "A", "B", "B", "A", "A", "B", "B", "B", "B", "B", "B", "C",
"C", "A", "A", "A", "A", "A", "A", "A", "A", "C", "C", "A", "A",
"B", "B", "A", "A", "B", "B", "B", "B"), size = c(1, 1, 5, 5,
5, 5, 1, 1, 1, 1, 5, 5, 5, 5, 2, 2, 2, 2, 5, 5, 1, 1, 1, 1, 5,
5, 5, 5, 4, 4, 5, 5, 5, 5, 4, 4, 2, 2, 5, 5, 1, 1, 1, 1, 2, 2,
1, 1, 2, 2, 5, 5, 1, 1, 3, 3, 2, 2, 2, 2, 5, 5, 4, 4, 1, 1, 5,
5, 2, 2, 5, 5, 2, 2, 2, 2, 4, 4, 3, 3, 4, 4, 3, 3, 3, 3, 3, 3,
5, 5, 3, 3, 2, 2, 3, 3, 1, 1, 5, 5), base_rate = c(14L, 14L,
14L, 14L, 19L, 19L, 30L, 30L, 20L, 20L, 29L, 29L, 20L, 20L, 20L,
20L, 24L, 24L, 19L, 19L, 29L, 29L, 14L, 14L, 24L, 24L, 24L, 24L,
24L, 24L, 14L, 14L, 17L, 17L, 19L, 19L, 33L, 33L, 19L, 19L, 24L,
24L, 14L, 14L, 20L, 20L, 23L, 23L, 33L, 33L, 29L, 29L, 19L, 19L,
33L, 33L, 24L, 24L, 24L, 24L, 19L, 19L, 33L, 33L, 29L, 29L, 33L,
33L, 29L, 29L, 20L, 20L, 24L, 24L, 30L, 30L, 29L, 29L, 17L, 17L,
30L, 30L, 23L, 23L, 24L, 24L, 24L, 24L, 20L, 20L, 29L, 29L, 24L,
24L, 19L, 19L, 20L, 20L, 20L, 20L), taxrate = c(12L, 14L, 14L,
12L, 21L, 18L, 30L, 30L, 20L, 20L, 29L, 30L, 20L, 20L, 20L, 20L,
24L, 24L, 21L, 18L, 30L, 29L, 14L, 12L, 24L, 24L, 24L, 24L, 24L,
24L, 14L, 12L, 18L, 19L, 18L, 21L, 33L, 32L, 21L, 18L, 24L, 24L,
12L, 14L, 20L, 20L, 22L, 25L, 32L, 33L, 30L, 29L, 18L, 21L, 32L,
33L, 24L, 24L, 24L, 24L, 18L, 21L, 32L, 33L, 30L, 29L, 32L, 33L,
29L, 30L, 20L, 20L, 24L, 24L, 30L, 30L, 29L, 30L, 18L, 19L, 30L,
30L, 22L, 25L, 24L, 24L, 24L, 24L, 20L, 20L, 30L, 29L, 24L, 24L,
21L, 18L, 20L, 20L, 20L, 20L), vote = c(0, 0, 0, 0, 1, 1, 1,
0, 1, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 0, 0, 1, 0, 1,
1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 0, 1, 0, 0, 1, 1,
1, 0, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 1, 0,
1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0,
1, 0, 1, 1, 1, 1, 0, 1, 1), votewon = c(0, 0, 0, 0, 1, 0, 1,
0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1,
1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1,
0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0,
1, 1, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0,
0, 0, 1, 1, 0, 1, 0, 1, 1)), class = "data.frame", row.names = c(NA,
-100L))
## convert variables to factors beforehand
DF[c(1, 2, 4, 5, 6, 9, 10)] <- lapply(DF[c(1, 2, 4, 5, 6, 9, 10)], factor)
问题：如果将公式对象传递给模型，则模型对象会将公式对象的名称存储在 foo$call$formula 槽中。这就是导致你错误的原因。您可以通过调用 all.vars(eval(foo$call$formula)) 来修复它 这是一个示例：
form <- formula(y~x)
lm1 <- lm(y~x, data.frame(y = rnorm(10), x = rnorm(10)))
lm2 <- lm(form, data.frame(y = rnorm(10), x = rnorm(10)))
all.vars(lm1$call)
# returns: "y" "x"
all.vars(lm2$call)
# returns: "form"
lm1$call$formula
# returns: y ~ x
lm2$call$formula
# returns: form
eval(lm1$call$formula)
# returns: y ~ x
eval(lm2$call$formula)
# returns: y ~ x
all.vars(eval(lm1$call$formula))
# returns: "y" "x"
all.vars(eval(lm2$call$formula))
# returns: "y" "x"