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我想簡單計數到wide
數據集的值,但是沒有必須將數據集轉換成long
(人員週期)文件。沒有融化數據的R計數發生
我的數據是這樣的:
alone1 alone2 alone3 alone4 alone5 alone6 alone7 alone8
1 Mentioned Mentioned Mentioned Mentioned Mentioned Mentioned Mentioned Mentioned
2 Mentioned Mentioned Mentioned Mentioned Mentioned Mentioned Mentioned Mentioned
3 Mentioned Mentioned Not mentioned Not mentioned Not mentioned Not mentioned Not mentioned Not mentioned
4 Mentioned Mentioned Not mentioned Not mentioned Not mentioned Not mentioned Not mentioned Not mentioned
我想要做的就是這個
library(dplyr)
library(tidyr)
dt %>% gather %>% group_by(value) %>% summarise(n = n())
這給了我(這是輸出我想)
value n
1 Mentioned 20
2 Not mentioned 12
但是,我不想melt
或gather
我的數據。
任何想法我可以簡單地計算列的出現而不必進行人員週期轉換?
dt = structure(list(alone1 = c("Mentioned", "Mentioned", "Mentioned",
"Mentioned"), alone2 = c("Mentioned", "Mentioned", "Mentioned",
"Mentioned"), alone3 = c("Mentioned", "Mentioned", "Not mentioned",
"Not mentioned"), alone4 = c("Mentioned", "Mentioned", "Not mentioned",
"Not mentioned"), alone5 = c("Mentioned", "Mentioned", "Not mentioned",
"Not mentioned"), alone6 = c("Mentioned", "Mentioned", "Not mentioned",
"Not mentioned"), alone7 = c("Mentioned", "Mentioned", "Not mentioned",
"Not mentioned"), alone8 = c("Mentioned", "Mentioned", "Not mentioned",
"Not mentioned")), .Names = c("alone1", "alone2", "alone3", "alone4",
"alone5", "alone6", "alone7", "alone8"), class = "data.frame", row.names = c(NA, 4L))
感謝漂亮的簡單的解決方案 – giacomo