DPLYR Mutate 函数要“transmute”？

Question

几周前我刚刚开始学习 R。我在尝试将性别行转换为列时遇到了一些问题（如果这是正确的 R 术语？）。

    > brfss %>%
    +     filter(hours1 >=1,hours1 <=24) %>%
    +     group_by(hours1, gender) %>%
    +     summarise(count = n())
    # A tibble: 48 x 3
    # Groups:   hours1 [?]
       hours1   gender count
          <int> <fctr> <int>
     1        1   Male    96
     2        1 Female   132
     3        2   Male   464
     4        2 Female   612
     5        3   Male  1433
     6        3 Female  2063
     7        4   Male  5749
     8        4 Female  8512
     9        5   Male 13231
    10        5 Female 20205

    # ... with 38 more rows

我想将列显示为：

    hours1   Male  Female count

基本上将整个男性/女性转变为列而不是行。有人可以给我一些指示吗？谢谢。

Answer 1

你可以试试这样的：

library(dplyr)
library(tidyr)
library(magrittr)

brfss2013 %>% 
  select(hours1 = sleptim1, gender = sex) %>% 
  na.omit() %>%
  group_by(hours1, gender) %>%
  summarize(count = n()) %>%
  spread(key = gender, value = count)

Answer 2

试试这个.. brfss %>% 传播（键=性别，值=性别）%>% 选择（小时1，男，女，计数）