如何使用dplyr对x中的元素进行分组,对x的间隔计算x的频率？

Question

x < - c('a','v','c','a','d','e','g','f','h','y','u',' R", 'S', 'W', 'S', 'd', 'G', 'J', 'U', 'R', 'S', 'S', 'S', 'v' , 'b', 'G', 'E', 'W', 'S', 'd', 'G', 'H', 'J', 'I', 'T', 'E'," W", 'W', 'q', 'q', 'd', 'v', 'b', 'M', 'M', 'K', 'L', 'U', 'p' , 'O', 'R', 'T', 'N', 'E', 'W', 'W', 'J', 'F', 'C', 'G', 'H'," T", 'R', 'd', 'E', 'W', 'W', 'W', 'Z', 'F', 'G', 'F', 'H', 'H' , 'Y', 'R', 'F', 'F', 'L')

y < - 样本(1:40,79,替换= T)

y 1 38 18 19 19 37 38 26 4 32 23 11 24 36 15 22 19 6 24 13 36 2 26 35 39 8 33 20 19 23 28 5 17 40 26 18 21 [37] 35 23 27 12 3 33 16 32 11 19 4 5 8 19 5 19 33 33 33 13 12 32 21 4 14 8 28 34 33 22 34 19 39 23 6 8 [73] 37 17 21 16 38 15 36

我有两个变量'x'和'y'.'x'中有一个以上的观察实例.y中的值对应于'x'中的每个观察值

我想实现分组以及将y值分区为间隔.

换句话说,一个字母出现的次数将被划分为基于在每个出现时分配给该字母的值指定的间隔.

例如: -

无法正确表示表格,因为我找不到更好的方法在这里输入.

我希望很清楚.如果需要,我会尽力重申.在这方面,我将不胜感激.

Answer 1

运用 dplyr

library(dplyr)
library(tidyr)

res <- tally(group_by(df, x, y=cut(y, breaks=seq(0,40, by=10)))) %>% 
                                                        ungroup() %>%
                                                         spread(y,n, fill=0)

或使用 data.table

library(data.table)
res1 <- dcast.data.table(setDT(df)[,list(.N), 
           by=list(x, y1=cut(y, breaks=seq(0,40, by=10)))],
                            x~y1, value.var="N", fill=0L)

all.equal(as.data.frame(res), as.data.frame(res1))
#[1] TRUE

注意:有一个label在争论cut,所以如果你想拥有的column标题是freq0-10,等

 tally(group_by(df, x, y=cut(y,breaks=seq(0,40, by=10),
      labels=paste0("freq", c("0-10", "10-20", "20-30", "30-40")))))  %>%
                                                            ungroup() %>%
                                                            spread(y,n, fill=0) %>%
                                                            head(2)

  #   x freq0-10 freq10-20 freq20-30 freq30-40
  #1 a        0         1         1         0
  #2 b        1         1         0         0

数据

 df <-  structure(list(x = structure(c(1L, 22L, 3L, 1L, 4L, 5L, 7L, 6L, 
 8L, 24L, 21L, 18L, 19L, 23L, 19L, 4L, 7L, 10L, 21L, 18L, 19L, 
 19L, 19L, 22L, 2L, 7L, 5L, 23L, 19L, 4L, 7L, 8L, 10L, 9L, 20L, 
 5L, 23L, 23L, 17L, 17L, 4L, 22L, 2L, 13L, 13L, 11L, 12L, 21L, 
 16L, 15L, 18L, 20L, 14L, 5L, 23L, 23L, 10L, 6L, 3L, 7L, 8L, 20L, 
 18L, 4L, 5L, 23L, 23L, 23L, 25L, 6L, 7L, 6L, 8L, 8L, 24L, 18L, 
 6L, 6L, 12L), .Label = c("a", "b", "c", "d", "e", "f", "g", "h", 
 "i", "j", "k", "l", "m", "n", "o", "p", "q", "r", "s", "t", "u", 
 "v", "w", "y", "z"), class = "factor"), y = c(12L, 9L, 29L, 21L, 
 27L, 37L, 12L, 31L, 33L, 11L, 25L, 15L, 27L, 27L, 13L, 37L, 8L, 
 2L, 21L, 6L, 4L, 23L, 30L, 6L, 9L, 28L, 4L, 24L, 26L, 2L, 13L, 
 10L, 15L, 6L, 38L, 9L, 30L, 26L, 28L, 39L, 19L, 16L, 11L, 9L, 
 2L, 4L, 16L, 15L, 11L, 14L, 19L, 35L, 19L, 29L, 22L, 40L, 19L, 
 12L, 7L, 6L, 20L, 10L, 12L, 6L, 30L, 13L, 38L, 39L, 30L, 20L, 
 6L, 9L, 1L, 40L, 26L, 14L, 23L, 33L, 2L)), .Names = c("x", "y"
 ), row.names = c(NA, -79L), class = "data.frame")