【发布时间】:2022-07-12 17:22:59
【问题描述】:
concept_id concept_name event
1: 443387 Malignant tumor of stomach comorb
2: 4193704 Type 2 diabetes mellitus without complication comorb
3: 4095320 Malignant tumor of body of stomach comorb
4: 201826 Type 2 diabetes mellitus comorb
5: 4174977 Retinopathy due to diabetes mellitus comorb
对于上述数据,我正在尝试为 concept_ids 创建一个组合列表。有 5 个概念 ID,所以当我们用另一个概念 ID 迭代每个概念 ID 时,我们会得到一个类似这样的列表。
nrow(comorb_event)
for (i in (1:nrow(comorb_event))) {
for (j in (1:nrow(comorb_event))){
print(paste(i,j))
}
}
[1] "1 1"
[1] "1 2"
[1] "1 3"
[1] "1 4"
[1] "1 5"
[1] "2 1"
[1] "2 2"
[1] "2 3"
[1] "2 4"
[1] "2 5"
[1] "3 1"
[1] "3 2"
[1] "3 3"
[1] "3 4"
[1] "3 5"
[1] "4 1"
[1] "4 2"
[1] "4 3"
[1] "4 4"
[1] "4 5"
[1] "5 1"
[1] "5 2"
[1] "5 3"
[1] "5 4"
[1] "5 5"
我的输出不是我所期望的。由于项目 [1,1] 是相同的项目,我们可以避免这种情况,同样项目 [2,1] 已经被 [1,2] 覆盖,我们也可以删除它。删除冗余组合后,预期的列表将是这样的:
[1] "1 2"
[1] "1 3"
[1] "1 4"
[1] "1 5"
[1] "2 3"
[1] "2 4"
[1] "2 5"
[1] "3 4"
[1] "3 5"
[1] "4 5"
样本数据
structure(list(concept_id = c("443387", "4193704", "4095320",
"201826", "4174977"), concept_name = c("Malignant tumor of stomach",
"Type 2 diabetes mellitus without complication", "Malignant tumor of body of stomach",
"Type 2 diabetes mellitus", "Retinopathy due to diabetes mellitus"
), event = structure(c(1L, 1L, 1L, 1L, 1L), .Label = c("comorb",
"drug", "primary_dx"), class = "factor")), class = c("data.table",
"data.frame"), row.names = c(NA, -5L), .internal.selfref = <pointer: 0x5642431689a0>)
【问题讨论】:
标签: r loops combinations