我的 R 函数返回的向量大于预期

我有一个课堂作业(job)，任务是在R中创建一个函数，它接受一个值的向量，并在华氏、摄氏度和开尔文之间进行转换.我试图通过我的代码运行的示例应该生成一个只包含3个值的返回向量，但它返回的是一个包含26个值的向量.

以下是我的代码:

convTemp <- function(x, from = "C", to = "F") {
    newX <- vector("double", length(x))
    if (from == to) {
        warning("Your 'from' parameter is the same as your 'to' parameter!") # From and To are same temperature scale
    }
    if (from == "C" && to == "F") { # Celsius to Fahrenheit
        for (i in x) {
            newX[i] <- ((9/5)*x[i]+32)
        }
    }
    if (from == "C" && to == "K") { # Celsius to Kelvin
        for (i in x) {
            newX[i] <- (x[i]+273.15)
        }
    }
    if (from == "F" && to == "C") { # Fahrenheit to Celsius
        for (i in x) {
            newX[i] <- ((x[i]-32)*(5/9))
        }
    }
    if (from == "K" && to == "C") { # Kelvin to Celsius
        for (i in x) {
            newX[i] <- (x[i]-273.15)
        }
    }
    if (from == "F" && to == "K") { # Fahrenheit to Kelvin
        for (i in x) {
            newX[i] <- ((((x[i]-32)*5)/9)+273.15)
        }
    }
    if (from == "K" && to == "F") { # Kelvin to Fahrenheit
        for (i in x) {
            newX[i] <- ((((x[i]-273.15)*9)/5)+32)
        }
    }
    return(newX)
}

convTemp(c(35,40,45), from="F", to="K")

以下是我收到的输出:

 [1]  0  0  0 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
[26] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA

所以我不确定为什么这个函数会返回这么大的缺失值向量，而它应该返回一个包含3个开尔文值的向量.