R中数据帧中多列状态的频率计数答案

【问题标题】：frequency count of states in multiple columns in a dataframe in RR中数据帧中多列状态的频率计数
【发布时间】：2015-02-09 03:56:28
【问题描述】：

我有一张如下所示的表格：

City  Browser   Device    Channel        Category
A     IE        mobile    International  Fashion
A     safari    mobile    Link           Furniture
B     chrome    desktop   Link           Fashion
B     opera     tablet    Direct         Gift
C     IE        desktop   Direct         Health
C     Kindle    console   Email          Health
C     Chrome    console   Email          Fashion

我需要得到每个子标题的频率与主标题 Category:

Category  Sub Category  Variable        Value 
Health    Device        mobile          25%
Health    Device        console         40%
Health    Device        desktop         25%
Health    Device        tablet          10% 
Health    Channel       International   80%
Health    Channel       Direct          20%
Fashion
Gift

其他类别依此类推。发布这个我想创建一个基于Category 和每个子类别的分段条形图。如果我没有得到频率，计数很好，因为我可以在 ggplot 中转换为频率。

【问题讨论】：

标签： r ggplot2 multiple-columns plyr frequency

【解决方案1】：

（我在数据文件示例中添加了几行）

这是你想要的吗？：

dat <- read.table(text="City  Browser   Device    Channel        Category
A     IE        mobile    International  Fashion
A     safari    mobile    Direct         Furniture
A     safari    console   Email          Health
B     chrome    desktop   Link           Fashion
B     opera     tablet    Direct         Gift
B     opera     mobile    Link           Furniture
C     opera     console   Direct         Gift
C     IE        desktop   Direct         Health
C     Kindle    console   Email          Health
C     Chrome    console   Email          Fashion", 
                  header=TRUE, stringsAs=FALSE)

library(dplyr)
library(tidyr)

dat %>%
  gather(`Sub Category`, `Variable`, Device, Channel) %>%
  count(`Category`, `Sub Category`, `Variable`)

## Source: local data frame [16 x 4]
## Groups: Category, Sub Category
## 
##     Category Sub Category      Variable n
## 1    Fashion       Device       console 1
## 2    Fashion       Device       desktop 1
## 3    Fashion       Device        mobile 1
## 4    Fashion      Channel         Email 1
## 5    Fashion      Channel International 1
## 6    Fashion      Channel          Link 1
## 7  Furniture       Device        mobile 2
## 8  Furniture      Channel        Direct 1
## 9  Furniture      Channel          Link 1
## 10      Gift       Device       console 1
## 11      Gift       Device        tablet 1
## 12      Gift      Channel        Direct 2
## 13    Health       Device       console 2
## 14    Health       Device       desktop 1
## 15    Health      Channel        Direct 1
## 16    Health      Channel         Email 2

【讨论】：