我想创建可以使用多个输入进行测试的函数,例如下面是我的代码中的数字列表。我不仅想测试几个输入,但我不知道如何在函数参数中做同样的事情。
grads<-function((for (X in 0:100)))
if (x<=50){
"Fail"
}else if (x<=70){
"Good"
}else if (x<=80){
"V Good"
} else {
"Execellent"
}
grads(95,60,77,33)
这是错误,我得到
Error in grads(95, 60, 77, 33) : unused arguments (60, 77, 33)
我们可以用data.table
中的fcase
library(data.table)
grads <- function(x) {
data.table::fcase(x <= 50, "Fail",
x <= 70, "Good",
x <= 80, "Very Good",
default = "Excellent")
}
测试
grads(c(95,60,77,33))
[1] "Excellent" "Good" "Very Good" "Fail"
或从base R
使用findInterval
grads <- function(x) {
c("Fail", "Good", "Very Good", "Excellent")[findInterval(x,
c(0, 50, 70, 80, 100))]
}
grads(c(95,60,77,33))
[1] "Excellent" "Good" "Very Good" "Fail"
您需要使用向量化函数来处理多个值。
这里有一些选项。
- 嵌套
ifelse
.
grads<- function(x) {
ifelse(x <= 50, "Fail",
ifelse(x <= 70, "Good",
ifelse(x <= 80, "Very Good", "Excellent")))
}
grads(c(95,60,77,33))
#[1] "Excellent" "Good" "Very Good" "Fail"
case_when
fromdplyr
,这对于嵌套条件更容易读
grads<- function(x) {
dplyr::case_when(x <= 50 ~ "Fail",
x <= 70 ~ "Good",
x <= 80 ~ "Very Good",
TRUE ~ "Excellent")
}
grads(c(95,60,77,33))
cut
可伸缩
grads<- function(x) {
cut(x, c(0, 50, 70, 80, 100), c("Fail", "Good", "Very Good", "Excellent"))
}
grads(c(95,60,77,33))