knearest（Darr，P#u set，K）中的错误：对象'；knD&x27；找不到

我在R中使用了“smotefamily”软件包 然后我在CRDN文档中使用了这个示例

data_example = sample_generator(10000,ratio = 0.80)
genData = ADAS(data_example[,-3],data_example[,3])
genData_2 = ADAS(data_example[,-3],data_example[,3],K=7)

但是有一个错误

Error in knearest(Darr, P_set, C) : object 'knD' not found

我只想用ADAS。 这是文档链接：

---

跟踪此错误，它是从

knearest

抛出的，其来源是：

> knearest
function (D, P, n_clust) 
{
    if (requireNamespace("FNN", quietly = TRUE)) {
        knD <- FNN::knnx.index(D, P, k = (n_clust + 1), algo = "kd_tree")
    }
    knD = knD * (knD != row(knD))
    que = which(knD[, 1] > 0)
    for (i in que) {
        knD[i, which(knD[i, ] == 0)] = knD[i, 1]
        knD[i, 1] = 0
    }
    return(knD[, 2:(n_clust + 1)])
}

---

跟踪此错误时，它是从

knearest

抛出的，其源是：

> knearest
function (D, P, n_clust) 
{
    if (requireNamespace("FNN", quietly = TRUE)) {
        knD <- FNN::knnx.index(D, P, k = (n_clust + 1), algo = "kd_tree")
    }
    knD = knD * (knD != row(knD))
    que = which(knD[, 1] > 0)
    for (i in que) {
        knD[i, which(knD[i, ] == 0)] = knD[i, 1]
        knD[i, 1] = 0
    }
    return(knD[, 2:(n_clust + 1)])
}