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dplyr tidyr扩大和总结特定列

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我正在努力使用dplyr和tidyr来获取这种形式的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

并转换为所需的格式：

id count_event_a count_event_b sum_property_a sum_property_b
1             2             2              3              5
2             1             1              5              4
r dplyr tidyr tidyverse

2 回答

  • 1

    更一般：

    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)
    回复于
  • 0
    myDf %>% 
  group_by(id) %>% 
  summarise(count_event_a = sum(!is.na(a_property)), 
            count_event_b = sum(!is.na(b_property)),
            sum_property_a = sum(a_property, na.rm = TRUE),
            sum_property_b = sum(b_property, na.rm = TRUE)) %>%
  ungroup()

    你的例子中有一个拼写错误 . 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
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