Я пытаюсь просто сосчитать до значений wide
набора данных, но без, имеющих для преобразования набора данных в файл long
(Люди-период).R - подсчет вхождений без плавления данных
Мои данные выглядит следующим образом:
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
То, что я хочу сделать это
library(dplyr)
library(tidyr)
dt %>% gather %>% group_by(value) %>% summarise(n = n())
Что дает мне (это выход Я хочу)
value n
1 Mentioned 20
2 Not mentioned 12
Однако я не хочу melt
или gather
my данные.
Любая идея, как я мог просто подсчитать вхождения столбцов, не делая трансформацию периода лица?
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))
спасибо приятно простое решение – giacomo