structure(list(MSISDN = c(800, 800, 783,
975, 800)), .Names = "Number", row.names = c(NA,
-5L), class = "data.frame")
我在R中有以下数据帧,我需要按输出频率排序每个数字的计数
输出应为
Num Freq
800 3
975 1
783 1
答案 0 :(得分:1)
这应该有用。
<强>基强>
df <- data.frame(table(xx$Number))
df[rev(order(df$Freq)),]
<强>结果强>
# Var1 Freq
# 800 3
# 975 1
# 783 1
您也可以使用dplyr
进行排序。
library(dplyr)
df %>% arrange(desc(Freq))
数据强>
xx <- structure(list(MSISDN = c(800, 800, 783,
975, 800)), .Names = "Number", row.names = c(NA,
-5L), class = "data.frame")
答案 1 :(得分:1)
从管理员程序中检出Tabyl功能。它完成了您想要的任务,再加上一点
library(janitor)
ds <- structure(list(MSISDN = c(800, 800, 783,975, 800)), .Names = "Number", row.names = c(NA,-5L), class = "data.frame")
tabyl(ds$Number)
答案 2 :(得分:0)
仅使用dplyr
func getOrCreateRecord(uid: String) -> Records{
var record: Records?
do {
let fetchRequest : NSFetchRequest<Records> = Records.createFetchRequest()
fetchRequest.predicate = NSPredicate(format: "uid = %@", uid)
let result: [Records] = try container.viewContext.fetch(fetchRequest)
record = result.first
} catch {
print(error.localizedDescription)
}
return record ?? Records(context: container.viewContext)
}