dplyr tidyr用于加宽和求和特定列

我正在努力使用dplyr和tidyr以这种形式获取df：

myDf <- data.frame(id = c(1,1,1,1,2,2),
                   event = c('a','b','a','b','a','b'),
                   a_property = c(1,NA,2, NA, 3, NA),
                   b_property = c(NA,2,NA, 3, NA, 4))

> myDf
id event a_property b_property
1     a          1         NA
1     b         NA          2
1     a          2         NA
1     b         NA          3
2     a          3         NA
2     b         NA          4    

你的例子中有一个输入错误。答案应该是：

# A tibble: 2 × 5
     id count_event_a count_event_b sum_property_a sum_property_b
  <dbl>         <int>         <int>          <dbl>          <dbl>
1     1             2             2              3              5
2     2             1             1              3              4

#一个tible:2×5
id计数\事件\计数\事件\总和\属性\总和\属性
1     1             2             2              3              5
2     2             1             1              3              4

更一般一点：

myDf %>%
  gather(key, value, -id, -event) %>%
  filter(!is.na(value)) %>%
  group_by(id, event) %>%
  summarise(count = n(),
            sum = sum(value)) %>%
  gather(key, value, -id, -event) %>%
  unite(measure, key, event) %>%
  spread(measure, value)

---

做两个步骤。按照以下问题进行重塑：然后使用summary（）获得计数/总和。

# A tibble: 2 × 5
     id count_event_a count_event_b sum_property_a sum_property_b
  <dbl>         <int>         <int>          <dbl>          <dbl>
1     1             2             2              3              5
2     2             1             1              3              4

myDf %>%
  gather(key, value, -id, -event) %>%
  filter(!is.na(value)) %>%
  group_by(id, event) %>%
  summarise(count = n(),
            sum = sum(value)) %>%
  gather(key, value, -id, -event) %>%
  unite(measure, key, event) %>%
  spread(measure, value)