按组中插入新观察值，即r中的和（或加权和）-Java 学习之路

我还是R的新手，许多事情仍然很难执行 . 这里的社区非常有帮助！我还有另一个问题 . 1.为每个组创建一个新观察值，它是某些变量的和（或加权和）2 . 为有时带有NA的变量创建加权和

My dataset:

df = structure(list(ID = c(1L, 1L, 2L, 2L, 3L, 3L, 4L, 4L, 4L), ID_name = c("AA", "AA", "BB", "BB", "CC","CC", "DD","DD","DD"),
    Volume = c(10L, 20L, 30L, 50L, 50L, 40L, 20L, 
    30L, 10L), Score= c(0.1L, 0.3L, 0.5L, NA, 0.6L, NA, 
    0.6L, 0.2L, 0.6L)).Names = c("ID", "ID_name","Volume","Score"), class = "data.frame", row.names = c(NA, -9L))

我想 1.Create a new observation for each unique ID, that is ID 1, ID 2, ID 3, and ID 4

2. Have these new observations be as follows: ID ID_name体积分数（加权平均值）1 AA 30（即10 20）（10 * 0.1 0.3 * 20）/（10 20）= 0.23 2 BB 80（30 50）（30 * 0.5）/30=0.5（分数计算中忽略NA行）3 CC 90（50 40）（60 * 0.6）/60=0.6（分数计算中忽略NA行）4 DD 60（20 30 10）（20 * 0.6 30 * 0.2 10 * 0.6）/60=0.4

我试过mutate函数，但似乎没有用 . 任何线索都将非常感激 . 谢谢

1 回答

library(dplyr)

df = data.frame(ID = c(1L, 1L, 2L, 2L, 3L, 3L, 4L, 4L, 4L), 
                ID_name = c("AA", "AA", "BB", "BB", "CC", "CC", "DD", "DD", "DD"), 
                Volume = c(10L, 20L, 30L, 50L, 50L, 40L, 20L, 30L, 10L), 
                Score = c(0.1, 0.3, 0.5, NA, 0.6, NA, 0.6, 0.2, 0.6))


df %>%
  mutate(HasScore = ifelse(is.na(Score), 0, 1)) %>%
  group_by(ID, ID_name) %>%
  summarise(WA = sum(Volume*Score, na.rm = T)/sum(Volume*HasScore),
            Volume = sum(Volume)) %>%
  ungroup()

# # A tibble: 4 x 4
#      ID ID_name        WA Volume
#   <int>  <fctr>     <dbl>  <int>
# 1     1      AA 0.2333333     30
# 2     2      BB 0.5000000     80
# 3     3      CC 0.6000000     90
# 4     4      DD 0.4000000     60

回复于 2024-04-16T14:34:49+08:00

按组中插入新观察值，即r中的和（或加权和）

1 回答

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